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Lozano-Rizk, Jose Eleno, Raul Rivera-Rodriguez, Juan Iván Nieto-Hipólito, Salvador Villarreal-Reyes, Alejandro Galaviz-Mosqueda, and Mabel Vazquez-Briseno. "Quality of Service in Software Defined Networks for Scientific Applications: Opportunities and Challenges." Proceedings of the Institute for System Programming of the RAS 33, no. 1 (2021): 111–22. http://dx.doi.org/10.15514/ispras-2021-33(1)-8.
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Scientific applications require to process, analyze and transfer large volumes of data in the shortest possible time from distributed data sources. In order to improve their performance, it is necessary to provide them with specific QoS parameters. On the other hand, SDN is presented as a new paradigm of communications networks that facilitates the management of the communications infrastructure and consequently allows to dynamically incorporate QoS parameters to the applications running in this type of network. With both these paradigms in mind, we conducted this research to answer the following questions: Do scientific applications that are running in an SDN-Enabled distributed data centers improve their performance? Do they consider network QoS parameters for job scheduling? The methodology used was to consult articles in specialized databases containing the keywords SDN and for scientific applications: HPC and Big Data. Then, we analyzed the articles where these keywords intersect with some of the parameters related to QoS in communications networks. Also, we reviewed QoS proposals in SDN to identify the advances in this research area. The results of this paper are: i) QoS is an open issue to incorporate in scientific applications that are running in an SDN ii) we identified the challenges to join both these paradigms, and iii) we present a strategy to provide QoS to scientific applications that are being executed among SDN-Enabled distributed data centers.
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Perepelkin, D. A., and V. T. Nguyen. "RESEARCH OF LOAD BALANCING PROCESSES IN SOFTWARE-DEFINED NETWORKS BASED ON GENETIC ALGORITHM." Vestnik of Ryazan State Radio Engineering University 77 (2021): 43–57. http://dx.doi.org/10.21667/1995-4565-2021-77-43-57.
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As a new network paradigm, software-defined networks (SDN) are able to cope with the limitations of traditional networks. SDNs use a management controller with a global view of the network and switching devices that act as packet forwarding equipment, known as «OpenFlow switches». Network resources limitations and ensuring quality of service requirements lead to an important need for load balancing between SDN switches. The purpose of work research and analysis of load balancing processes in SDN based on genetic algorithm. To confirm the effectiveness and correctness of the genetic algorithm in SDN, the software for modeling the load balancing processes has been developed. The simulation results confirmed the efficiency of the genetic algorithm in SDN for balancing and redistributing network traffic in order to ensure the required quality of service and reduce network congestion.
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Данешманд, Б., and Л. А. Ту. "STUDY AND REVIEW OF SDN-BASED LOAD BALANCING MECHANISMS IN 5G / IMT-2020." ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА, no. 1 (March 14, 2022): 102–11. http://dx.doi.org/10.36622/vstu.2022.18.1.012.
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Ожидается, что рост числа мобильных устройств и потребность в пользовательских данных к 2030 году окажут беспрецедентное давление на текущую мобильную сеть. У будущих мобильных сетей должно быть несколько требований в отношении объема данных, задержки, качества обслуживания и опыта, мобильности, спектра и энергоэффективности. Поэтому в последнее время начались усилия по созданию более эффективных решений для мобильных сетей. С этой целью балансировка нагрузки привлекла большое внимание как многообещающее решение для более эффективного использования ресурсов, повышения производительности системы и снижения эксплуатационных расходов. Это эффективный способ сбалансировать трафик и уменьшить перегрузку в гетерогенных сетях в будущих сетях 5G / IMT-2020. Балансировка нагрузки - одна из наиболее важных задач, необходимых для максимального повышения производительности, масштабируемости и надежности сети. В настоящее время с появлением программно-конфигурируемых сетей (SDN) балансировка нагрузки для SDN стала важной проблемой в будущей сети 5G / IMT-2020. SDN позволяет использовать программируемые балансировщики нагрузки и обеспечивает гибкость для разработки и реализации стратегий балансировки нагрузки. В этом обзоре мы выделяем методы балансировки нагрузки на основе сетей SDN и предполагаемые требования к балансировке нагрузки в сетях 5G The growing number of mobile devices and the demand for user data by 2030 are expected to put pressure on the current mobile network in an unprecedented way. Future mobile networks must have several requirements regarding data amount, latency, quality of service and experience, mobility, spectrum, and energy efficiency. Therefore, efforts have recently begun for more efficient mobile network solutions. To this end, load balancing has attracted much attention as a promising solution for greater resource utilization, improved system performance, and reduced operating costs. This is an effective way to balance traffic and reduce congestion in heterogeneous networks in future 5G/IMT-2020 networks. Load Balancing is one of the most critical tasks required to maximize network performance, scalability, and robustness. Nowadays, with the emergence of Software-Defined Networking (SDN), Load Balancing for SDN has become a significant issue in future network 5G/IMT-2020. SDN allows for programmable load balancers and provides the flexibility to design and implement load balancing strategies. In this survey, we highlight the methods of load balancing based on SDN networks and prospective load balancing requirements on 5G networks
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Rozaq, Abdur, and I. Made Suartana. "Manajemen Quality of Service pada Jaringan Software Defined Network Menggunakan Opendaylight Controller." Journal of Informatics and Computer Science (JINACS) 3, no. 02 (August 23, 2021): 89–94. http://dx.doi.org/10.26740/jinacs.v3n02.p89-94.
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Kamajuan teknologi jaringan berkembang sangat pesat. Hal ini mengakibatkan tingkat konfigurasi pada jaringan semakin rumit, sehingga jaringan menjadi tidak fleksibel dan susah diatur. Software Defined Network (SDN) merupakan jaringan yang cukup fleksibel dan dapat dengan mudah untuk diatur. Jaringan SDN ini dapat mengatur dan mengelola sampai ribuan perangkat jaringan melalui pusat manajemen, pengoptimalan pada komponen jaringan meliputi pengoptimalan bandwidth, load balancing, traffic engineering yang bersangkutan dengan programmability dan scalability. Quality of Service (QoS) adalah suatu kemampuan dalam menyediakan layanan lalu lintas jaringan yang berbeda dengan kelas yang berbeda pula untuk menyediakan sebuah layanan jaringan agar menjadi lebih baik dan dapat terencana dengan jitter dan bandwidth yang khusus, serta kemampuan untuk kehilangan sebuah latensi yang dapat terkontrol. Dalam beberapa penelitian menunjukkan bahwa sistem yang telah dibangun dapat berhasil menjalankan manajemen QoS secara baik pada jaringan dan kualitas jaringan dapat meningkat. Tujuan dari penelitian ini adalah untuk melakukan perbandingan dari jaringan SDN yang menggunakan QoS dengan jaringan SDN yang tidak menggunakan QoS menggunakan controller Opendaylight. Dari hasil pengujian yang telah dilakukan kinerja dari jaringan SDN yang menggunakan QoS lebih baik dibandingkan jaringan SDN yang tidak menggunakan QoS baik dalam pengujian yang menggunakan background traffic maupun tidak.
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M, Divya. "Improving Quality of Service through SDN for Mobile Networks." International Journal for Research in Applied Science and Engineering Technology 6, no. 3 (March 31, 2018): 2299–307. http://dx.doi.org/10.22214/ijraset.2018.3366.
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Paulson, Eberechukwu Numan, Kamaludin Mohamad Yusof, Muhammad Nadzir Bin Marsono, Umar Suleiman Dauda, and Fapohunda Kofoworola. "Quality of Service Evaluation of Software Defined Internet of Things Network." ELEKTRIKA- Journal of Electrical Engineering 20, no. 1 (April 30, 2021): 65–75. http://dx.doi.org/10.11113/elektrika.v20n1.223.
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With the exponential growth of the Internet of Things (IoT) devices connected to the internet, resource provisioning for such the heterogeneous network is a challenging task for the traditional network architecture. In this context, the Software-Defined Networking (SDN) introduces many opportunities and provides the potential to overcome challenges associated with traditional network architecture. This work presents a Software-Defined IoT (SDIoT) architecture. The main focus of this research is to design a control plane (CP) for the SDIoT. The scope of this work is limited to the introduction of an overlay SDN CP in the traditional IoT network architecture. The proposed architecture focuses on resource provisioning while ensuring the quality of service (QoS) satisfaction for the network. A comparative analysis between the traditional and the SDN network approach was done in terms of Jitter, Latency and Throughput. From the latency, delay and throughput performance results, the SDN-based IoT network improves network efficiency by reducing network overheads generated from frequent communication between the nodes and the controllers. Precisely, the average latency and average jitter percentile improvement from the traditional IoT network to the SDIoT for all the nodes is 574% and 600% respectively. Also, an overall throughput improvement is recorded for the SDIoT when compared to traditional IoT network for all the nodes.
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Dewi, Nuning Nurna. "EFFECT OF SERVICE QUALITY MANAGEMENT ON STUDENT SATISFACTION." JURNAL TERAPAN MANAJEMEN DAN BISNIS 7, no. 1 (March 29, 2021): 1. http://dx.doi.org/10.26737/jtmb.v7i1.2336.
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<p>This study aims to determine whether empathic services, facility services, reliable services, responsive services and convincing services have an effect on student satisfaction. The research method used is to take a sample from a population and use a questionnaire as the main data collection. To dig up information / data and distribute it to answer the formulation of the problem that has been determined so that this research is an exploratory descriptive. As the population in this study were all students of SDN Guluk-guluk I Kec. Guluk-guluk in the academic year 2010/2011 as many as 335 students. For the purposes of analysis in this study, primary data are needed as the main data and secondary data as complementary data. The method of obtaining primary data as the main data will be used by using a questionnaire technique or by using a questionnaire. To obtain more complete data information in this study, observation and documentation techniques were also used. So that the data collection techniques in this study used questionnaires, documentation and observation. Reliable services, responsive services, convincing services, empathic services, and service provider facilities have a significant effect on Student Satisfaction at SDN Guluk-guluk I Kec. Guluk - guluk , this is indicated by using the F test shows the value of F count of 143.161 (significance f = 0.000) so Fcount> Ftable (143.161> 3.095) or Sig F <5% (0.000 <0.05) means the magnitude of the influence of quality variables service (X1) to student satisfaction (Y) of 90.00%. Partially Service Quality Management has a significant positive effect on Student Satisfaction at SDN Guluk-guluk I Kec. Gulul-guluk, this is indicated by the t count value of 5.221 with a significance of 0.000, because tcount> ttable (5.221> 1.986 ) or sig t <5% (0.000 <5%) and the value of the partial regression coefficient (standardized beta coefficients) is 0.595 then partially the service quality variable (X2) has a significant positive effect on the student satisfaction variable at SDN Guluk-guluk I Kec. Roll up (Y) Reliable service, responsive service, convincing service, empathic service, and service provision of facilities together have an effect on student satisfaction. Service quality management which more dominantly affects student satisfaction than other variables, this can be seen from the value of the regression coefficient (standardized coefficients beta) which is the largest compared to the coefficient value on the facility provision variable of 0.595 which shows the regression value of the service quality variable (X1) of 0.296.</p>
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BIN ZAKI, NUR EMRAN. "IMPACT OF SERVICE QUALITY OF LAND TRANSPORTATION ON CUSTOMER SATISFACTION AT JOHOR PORT LOGISTICS." Journal of Public Value and Administration Insights 1, no. 1 (November 13, 2018): 7–13. http://dx.doi.org/10.31580/jpvai.v1i1.137.
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This study is for the impact of service quality of land transportation on customer satisfaction at Johor Port Logistics. JP Logistics is the one-stop center for all logistics needs. It’s become a service provider. JP Logistics have the facilities to fulfill the customer requirements. The objective of this research is to identify the most influence of service on customer satisfaction on land transportation services at Johor Port Logistics Sdn Bhd and to categorized the strongest factor that customer needs from that service can be implemented o in this research The respondent of this study is the customer of JP Logistics Sdn Bhd. The population of this study is based on a demographic basis such as gender, age, marital status, education, and others. These studies just focus on customers in the Pasir Gudang area. In this study, researcher uses SPSS as the software to calculate the Normality Test, Frequencies Analysis and Correlation. Lastly, researchers also identify some recommendation in order to improve and full fill customer satisfaction in JP Logistics Sdn Bhd.
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Suheri, Suheri, Zulfan Saam, and Caska Caska. "PROGRAM PENJAMINAN MUTU SEKOLAH (STUDI KASUS SDN 36 DAN SDIT AL FITYAH KOTA PEKANBARU)." Jurnal Manajemen Pendidikan Penelitian Kualitatif 3, no. 2 (September 14, 2019): 63. http://dx.doi.org/10.31258/jmppk.3.2.p.63-69.
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The research aims to analyze the map quality, quality manual, quality assurance and SOP institutional quality assurance SDN 36 and SDIT Al Fityah city of Pekanbaru. Informants to be interviewed in this research is the principal and Vice Principal at SDN 36 and SDIT Al Fityah city of Pekanbaru. The instruments used are shaped intervie, observation and documentation. Data analysis which is used toexpose the data quality assurance program school case studies of SDN 36 and SDIT Al Fityah city of Soweto), used a qualitative analysis. The results showed that first, map quality SDN 36 and SDIT Al Fityah city of Pekanbaru were already attempting to carry out the task of drafting the program and evaluation of the quality of education the school mapping. Second, the guideline of quality SDN 36 and SDIT Al Fityah Pekanbaru minimum service standards. Third, quality assurance SDN 36 SOP and SDITAl Fityah Pekanbaru meets the standards and infrastructure customized SNPS and SPM. Fourth, institutional quality assurance SDN 36 and SDIT Al Fityah Pekanbaru refers to the institutional structure which guarantees the quality of staffing and are handled by the head of school.
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Merayo, Noemí, David de Pintos, Juan C. Aguado, Ignacio de Miguel, Ramón J. Durán, Patricia Fernández, Rubén M. Lorenzo, and Evaristo J. Abril. "An Experimental OpenFlow Proposal over Legacy GPONs to Allow Real-Time Service Reconfiguration Policies." Applied Sciences 11, no. 3 (January 20, 2021): 903. http://dx.doi.org/10.3390/app11030903.
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The integration of Software Defined Networking (SDN) technologies in Passive Optical Networks (PONs) would provide great advantages to Internet Service Providers (ISPs) and Network Operators, since they can optimize the network operation and reduce its complexity. However, some tasks regarding online service and network configuration strategies are difficult to move to external SDN-controllers since they are time-critical operations. However, the control of some of these policies by SDN techniques could lead to better network and management configuration in a centralized and automatic way. As a consequence, we propose and experimentally test the integration of an OpenFlow approach over legacy Gigabit Passive Optical Networks (GPONs), which allows moving some global service configuration policies to an external SDN controller implementing an SDN management layer that adjust these strategies according to dynamic Quality of Service (QoS) requirements of services in residential users. The viability and efficiency of our approach are demonstrated using a GPON testbed and proposing a new business scenario for ISPs and Network Operators.
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Rezaee, Mohammad, and Mohammad Hossein Yaghmaee Moghaddam. "SDN-Based Quality of Service Networking for Wide Area Measurement System." IEEE Transactions on Industrial Informatics 16, no. 5 (May 2020): 3018–28. http://dx.doi.org/10.1109/tii.2019.2893865.
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Karakus, Murat, and Arjan Durresi. "Quality of Service (QoS) in Software Defined Networking (SDN): A survey." Journal of Network and Computer Applications 80 (February 2017): 200–218. http://dx.doi.org/10.1016/j.jnca.2016.12.019.
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Lima, Alessandro, and Eduardo Alchieri. "Dynamic quality of service for different flow types in SDN networks." International Journal of Grid and Utility Computing 12, no. 2 (2021): 222. http://dx.doi.org/10.1504/ijguc.2021.10037570.
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Pratama, I. Putu Agus Eka, and I. Made Adhiarta Wikantyasa. "Implementasi dan Analisis Simulasi QOS dan Perfomance Device dengan Menggunakan ONOS dan Iperf3." Jurnal Informatika Universitas Pamulang 4, no. 2 (June 30, 2019): 57. http://dx.doi.org/10.32493/informatika.v4i2.2730.
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Internet have evolved so rapidly in this day and age from where user only can access to internet service through cable UTP(LAN) and now user can access it from every where through nirkable (Wireless Network) and from this improvement it caused lots of device connected and heavy traffic coming in and out from a network. Because of this situation the network industry come with a new idea using a new network architecture that known as Software Defined Network (SDN). Software Defined Network (SDN) is a new way to manage, design and implementing network architecture where data flow from the control plane separated from the hardware. Network industry believe that SDN can change the network architecture that people using now that known as Traditonal Network because SDN can overcome the weakness of Tradional network that tend to be closed and distributed can be changed by SDN to be open source, can be programmed and can be controlled centrally. In this research will be implementing and analys simulation Quality Of Service (QOS) and Perfomance device openflow switch using ONOS as controller to monitor the device perfomance and iperf3 as a Quality Of Service testing.
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Selyukov, A., Y. Khmelnitsky, D. Kovpa, and O. Lisovskiy. "ANALYSIS OF MODELS AND PROGNOSTICATION OF RISKS OF FUNCTIONING OF CONTROL SYSTEM OF SDN OF ARCHITECTURE." Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, no. 64 (2019): 113–23. http://dx.doi.org/10.17721/2519-481x/2019/64-11.
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The article deals with the analysis of models and algorithms of the system control SDN of architecture for providing of more quality work of network. Great diversity of most hardware implementation of the data devices SDN architecture leads to the fact that different switches may not support some features or support them with limited performance. In the process network, this can significantly affect the throughput of an individual data flow or whole network domains. Routing flow transfer is carried out by criterion of quality of service and the criterion of balanced loads of network resources the network. Improving the quality of service is subject to the classification of the flow that greatly restricts the ability of flow control. Most models of such networks do not take into account the characteristics of multi-service data flow, which leads to deterioration in the quality of service and increase the likelihood of blocking the channels of transmission network. The inability to implement differentiated management for individual data streams for individual clients and take them into account quality requirements, leads to low efficiency of channel routing, sub-optimal distribution of network load, the deterioration of the quality of service high-priority data streams. Tools control over the process of transmission of individual data flow do not exist, whereby the control system has the ability to determine service degradation for these data streams, and therefore will not be able to guarantee the necessary level of control. New models and algorithms of functioning of a software – managed network will allow for routing data streams of network, differentiating them according to the sensitivity to mixing of packet and connection drops. At created networks try to dissociate C-plane from the plane of transmission and put considerable efforts to overcoming of the nascent problems related to complications of migration from traditional networks to architecture of SDN. The aim of this article is realization of analysis of models and algorithms of functioning of control system of architecture of SDN for more reliable work of network. It gives possibility to the users to get services with necessary quality, by authenticity and will allow overcoming the nascent problems related to complications of migration from traditional networks to architecture of SDN.
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Moravejosharieh, Amir Hossein, and Jaime Lloret. "Performance Analysis of Quality of Service in Software-Defined Networking." Network Protocols and Algorithms 10, no. 4 (January 9, 2019): 1. http://dx.doi.org/10.5296/npa.v10i4.14054.
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Software-Defined Networking (SDN) is a new networking strategy designed to overcome issues experienced in traditional IP network e.g. high level of complexity and inability to adaptively respond to newly arisen Quality of Service (QoS) requirements in a timely fashion. In SDN, control plane and data plane are decoupled which justifies the need to have a central controller to receive the application requirements (e.g. Quality of Service requirements) and implements a set of network policies on the data plane to eventually satisfy the requirements of the application. Implementing a proper set of policies on data plane can be quite a challenging task. In many cases implementing a set of policies in order to satisfy the requirements of an application negates requirements of other applications. In this paper, a simulation study is conducted to evaluate the performance of a QoS policy (i.e. reserving bandwidth) on a specific type of multimedia traffic (e.g. video, audio and data) and its influences on other types of multimedia traffic. The outcome of the simulation study has motivated the authors to conduct a mathematical analysis on the sensitivity of network applications over all possible combination of network policies to eventually implement a proper set of policies that imposes minimum destructive impact on other network applications or services.
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Rozhon, Jan, Filip Rezac, Jakub Jalowiczor, and Ladislav Behan. "Augmenting Speech Quality Estimation in Software-Defined Networking Using Machine Learning Algorithms." Sensors 21, no. 10 (May 17, 2021): 3477. http://dx.doi.org/10.3390/s21103477.
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With the increased number of Software-Defined Networking (SDN) installations, the data centers of large service providers are becoming more and more agile in terms of network performance efficiency and flexibility. While SDN is an active and obvious trend in a modern data center design, the implications and possibilities it carries for effective and efficient network management are not yet fully explored and utilized. With most of the modern Internet traffic consisting of multimedia services and media-rich content sharing, the quality of multimedia communications is at the center of attention of many companies and research groups. Since SDN-enabled switches have an inherent feature of monitoring the flow statistics in terms of packets and bytes transmitted/lost, these devices can be utilized to monitor the essential statistics of the multimedia communications, allowing the provider to act in case of network failing to deliver the required service quality. The internal packet processing in the SDN switch enables the SDN controller to fetch the statistical information of the particular packet flow using the PacketIn and Multipart messages. This information, if preprocessed properly, can be used to estimate higher layer interpretation of the link quality and thus allowing to relate the provided quality of service (QoS) to the quality of user experience (QoE). This article discusses the experimental setup that can be used to estimate the quality of speech communication based on the information provided by the SDN controller. To achieve higher accuracy of the result, latency characteristics are added based on the exploiting of the dummy packet injection into the packet stream and/or RTCP packet analysis. The results of the experiment show that this innovative approach calculates the statistics of each individual RTP stream, and thus, we obtain a method for dynamic measurement of speech quality, where when quality decreases, it is possible to respond quickly by changing routing at the network level for each individual call. To improve the quality of call measurements, a Convolutional Neural Network (CNN) was also implemented. This model is based on two standard approaches to measuring the speech quality: PESQ and E-model. However, unlike PESQ/POLQA, the CNN-based model can take delay into account, and unlike the E-model, the resulting accuracy is much higher.
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Jin, Li, Guoan Zhang, Hao Zhu, and Wei Duan. "SDN-Based Survivability Analysis for V2I Communications." Sensors 20, no. 17 (August 19, 2020): 4678. http://dx.doi.org/10.3390/s20174678.
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In vehicle-to-infrastructure (V2I) communications, various failures in the dynamic movement pose serious link interruptions. To study the continuous service quality for the V2I network when this issue happens, this paper proposes a survivability analysis and establishes the communication architecture for software-defined network (SDN)-based V2I communications. With the controllable advantages of SDN centralized management, the multi-path transmission control protocol is used to seamlessly switch the transmission information between the V2I links of each vehicle node. Specifically, according to the analysis of specific fault types for V2I links, the definitions of SDN-based V2I survivability is provided to establish the corresponding survivability mode. To further verify the survivability model, a full-state search is adopted by means of probability model checker PRISM. In addition, multi-directional probability and expected reward evaluation analyses are carried out from the point of view of time. The simulation results show that, with the failure of multiple V2I links, the network quality of service (QoS) correspondingly declines, but the network still survives, due to the multi-path transmission control protocol (MPTCP) action. Moreover, with a high fault repair rate, the service performance and survivability of the network is improved rapidly.
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Islam, Nazrul, Md Habibur Rahman, and Mostofa Kamal Nasir. "A Comprehensive Analysis of QoS in Wired and Wireless SDN Based on Mobile IP." International Journal of Computer Network and Information Security 13, no. 5 (October 8, 2021): 18–28. http://dx.doi.org/10.5815/ijcnis.2021.05.02.
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Software-Defined Networking (SDN) is the new network paradigm whose primary focus is to create a dynamic, scalable and flexible network. It provides programmable functions for implementation of network configuration management. The demand for wireless network functionality is rising simultaneously. Mobility management for a large network is an issue in Internet Engineering Task Force (IETF). There are also a number of solutions to support mobility within the network. The Mobile Internet Protocol (MIP) is used for managing mobility. Furthermore, for the SDN platform, mobility adds roaming capability for mobile nodes in the software-defined wireless network (SDWN). In the wired scenario, SDN has different capabilities to deliver network services according to the fixed node. This study provides a quality of service (QoS) analysis in both SDN and SDWN. Mininet WiFi and RYU network emulator as a controller is used to implement the mobility API. The random walk model is applied as mobility functionality toward the final nodes. Moreover, several QoS measurement matrices are analyzed according to the network topology. At the end, round trip time (RTT), cumulative distributed function (CDF), packet loss and throughput are analyzed for quality of service comparable in the SDN and SDWN scenarios according to the MIP.
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Chiu, Kai-Cheng, Chien-Chang Liu, and Li-Der Chou. "Reinforcement Learning-Based Service-Oriented Dynamic Multipath Routing in SDN." Wireless Communications and Mobile Computing 2022 (January 31, 2022): 1–16. http://dx.doi.org/10.1155/2022/1330993.
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The increasing quality and various requirements of network services are guaranteed because of the advancement of the emerging network paradigm, software-defined networking (SDN), and benefits from the centralized and software-defined architecture. The SDN not only facilitates the configuration of the network policies for traffic engineering but also brings convenience for network state obtainment. The traffic of numerous services is transmitted within a network, whereas each service may demand different network metrics, such as low latency or low packet loss rate. Corresponding quality of service policies must be enforced to meet the requirements of different services, and the balance of link utilization is also indispensable. In this research, Reinforcement Discrete Learning-Based Service-Oriented Multipath Routing (RED-STAR) has been proposed to understand the policy of distributing an optimal path for each service. The RED-STAR takes the network state and service type as input values to dynamically select the path a service must be forwarded. Custom protocols are designed for network state obtainment, and a deep learning-based traffic classification model is also integrated to identify network services. With the differentiated reward scheme for every service type, the reinforcement learning model in RED-STAR gradually achieves high reward values in various scenarios. The experimental results show that RED-STAR can adopt the dynamic network environment, obtaining the highest average reward value of 1.8579 and the lowest average maximum bandwidth utilization of 0.3601 among all path distribution schemes in a real-case scenario.
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Lu, Zhaoming, Tao Lei, Xiangming Wen, Luhan Wang, and Xin Chen. "SDN Based User-Centric Framework for Heterogeneous Wireless Networks." Mobile Information Systems 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/9874969.
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Due to the rapid growth of mobile data traffic, more and more basestations and access points (APs) have been densely deployed to provide users with ubiquitous network access, which make current wireless network a complex heterogeneous network (HetNet). However, traditional wireless networks are designed with network-centric approaches where different networks have different quality of service (QoS) strategies and cannot easily cooperate with each other to serve network users. Massive network infrastructures could not assure users perceived network and service quality, which is an indisputable fact. To address this issue, we design a new framework for heterogeneous wireless networks with the principle of user-centricity, refactoring the network from users’ perspective to suffice their requirements and preferences. Different from network-centric approaches, the proposed framework takes advantage of Software Defined Networking (SDN) and virtualization technology, which will bring better perceived services quality for wireless network users. In the proposed user-centric framework, control plane and data plane are decoupled to manage the HetNets in a flexible and coadjutant way, and resource virtualization technology is introduced to abstract physical resources of HetNets into unified virtualized resources. Hence, ubiquitous and undifferentiated network connectivity and QoE (quality of experience) driven fine-grained resource management could be achieved for wireless network users.
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Wallner, Ryan, and Robert Cannistra. "An SDN Approach: Quality of Service using Big Switch’s Floodlight Open-source Controller." Proceedings of the Asia-Pacific Advanced Network 35 (June 10, 2013): 14. http://dx.doi.org/10.7125/apan.35.2.
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Peng, Shuping, Jose Oscar Fajardo, Pouria Sayyad Khodashenas, Begoña Blanco, Fidel Liberal, Cristina Ruiz, Charles Turyagyenda, Mick Wilson, and Sunil Vadgama. "QoE-Oriented Mobile Edge Service Management Leveraging SDN and NFV." Mobile Information Systems 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/3961689.
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5G envisages a “hyperconnected society” where trillions of diverse entities could communicate with each other anywhere and at any time, some of which will demand extremely challenging performance requirements such as submillisecond low latency. Mobile Edge Computing (MEC) concept where application computing resources are deployed at the edge of the mobile network in proximity of an end user is a promising solution to improve quality of online experience. To make MEC more flexible and cost-effective Network Functions Virtualisation (NFV) and Software-Defined Networking (SDN) technologies are widely adopted. It leads to significant CAPEX and OPEX reduction with the help of a joint radio-cloud management and orchestration logic. In this paper we discuss and develop a reference architecture for the orchestration and management of the MEC ecosystem. Along with the lifecycle management flows of MEC services, indicating the interactions among the functional modules inside the Orchestrator and with external elements, QoS management with a focus on the channel state information technique is presented.
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Monika, Putri, Ridha Muldina Negara, and Danu Dwi Sanjoyo. "Performance analysis of software defined network using intent monitor and reroute method on ONOS controller." Bulletin of Electrical Engineering and Informatics 9, no. 5 (October 1, 2020): 2065–73. http://dx.doi.org/10.11591/eei.v9i5.2413.
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Software Defined Network (SDN) provides high service flexibility to optimize network configuration based on network traffic. Traffic management able to solve traffic density in SDN. However, it will misuse the network bandwidth and links. One variant of the SDN controller, namely Open Network Operating System (ONOS), provides an Intent Monitor and Reroute (IMR) method that can optimize traffic management based on the description of an object in the ONOS application. This method can optimize the network bandwidth and links of SDN. The IMR can monitor the network and reconfigure the network to restore network connectivity by maximizing the use of each link when transmitting data. This study examines the impact of using IMR with a custom topology on ONOS to find the best scenario by performing traffic management on a data plane consisting of switches totaling 8-12 switches. The parameters measured in this study are bandwidth usage and quality of service (QoS). The results obtained in this study are IMR able to optimize the use of each link and maximize bandwidth usage in a network when distributing data and following TIPHON standards
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Shahzadi, Shumaila, Fahad Ahmad, Asma Basharat, Madallah Alruwaili, Saad Alanazi, Mamoona Humayun, Muhammad Rizwan, and Shahid Naseem. "Machine Learning Empowered Security Management and Quality of Service Provision in SDN-NFV Environment." Computers, Materials & Continua 66, no. 3 (2021): 2723–49. http://dx.doi.org/10.32604/cmc.2021.014594.
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Ammal, R. Ananthalakshmi, Sajimon PC, and Vinodchandra SS. "Termite inspired algorithm for traffic engineering in hybrid software defined networks." PeerJ Computer Science 6 (August 17, 2020): e283. http://dx.doi.org/10.7717/peerj-cs.283.
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In the era of Internet of Things and 5G networks, handling real time network traffic with the required Quality of Services and optimal utilization of network resources is a challenging task. Traffic Engineering provides mechanisms to guide network traffic to improve utilization of network resources and meet requirements of the network Quality of Service (QoS). Traditional networks use IP based and Multi-Protocol Label Switching (MPLS) based Traffic Engineering mechanisms. Software Defined Networking (SDN) have characteristics useful for solving traffic scheduling and management. Currently the traditional networks are not going to be replaced fully by SDN enabled resources and hence traffic engineering solutions for Hybrid IP/SDN setups have to be explored. In this paper we propose a new Termite Inspired Optimization algorithm for dynamic path allocation and better utilization of network links using hybrid SDN setup. The proposed bioinspired algorithm based on Termite behaviour implemented in the SDN Controller supports elastic bandwidth demands from applications, by avoiding congestion, handling traffic priority and link availability. Testing in both simulated and physical test bed demonstrate the performance of the algorithm with the support of SDN. In cases of link failures, the algorithm in the SDN Controller performs failure recovery gracefully. The algorithm also performs very well in congestion avoidance. The SDN based algorithm can be implemented in the existing traditional WAN as a hybrid setup and is a less complex, better alternative to the traditional MPLS Traffic Engineering setup.
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Sharadqeh, Ahmad. "A novel algorithm for software defined networks model to enhance the quality of services and scalability in wireless network." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (April 1, 2022): 1585. http://dx.doi.org/10.11591/ijece.v12i2.pp1585-1592.
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Software defined networks (SDN) have replaced the traditional network architecture by separating the control from forwarding planes. SDN technology utilizes computer resources to provide worldwide effective service than the aggregation of single internet resources usage. Breakdown while resource allocation is a major concern in cloud computing due to the diverse and highly complex architecture of resources. These resources breakdowns cause delays in job completion and have a negative influence on attaining quality of service (QoS). In order to promote error-free task scheduling, this study represents a promising fault-tolerance scheduling technique. For optimum QoS, the suggested restricted Boltzmann machine (RBM) approach takes into account the most important characteristics like current consumption of the resources and rate of failure. The proposed approach's efficiency is verified using the MATLAB toolbox by employing widely used measures such as resource consumption, average processing time, throughput and rate of success.
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Ananth, S., A. M. Kalpana, and R. Vijayarajeswari. "A dynamic technique to enhance quality of service in software-defined network-based wireless sensor network (DTEQT) using machine learning." International Journal of Wavelets, Multiresolution and Information Processing 18, no. 01 (July 4, 2019): 1941020. http://dx.doi.org/10.1142/s0219691319410200.
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Wireless Sensor Network (WSN) is the interconnection between things or objects embedded with hardware and software. In WSN, small end devices (like sensors) and high end devices (like servers) are connected to the Internet. For WSN enabled in Software-Defined Network (SDN), the routers are controlled using a controller server node. It is a dynamic network due to the presence of mobile nodes and energy constrained nodes. The routing is the process of detecting route from source to target. In dynamic networks like WSN, routing is a challengeable task. This paper is to provide a routing solution for backboneless SDN-enabled WSN. The proposed work enhances routing Quality of Service (QoS) in WSN. The paths are dynamically reallocated to reduce the packet loss.
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Oliveira-Jr, Antonio, Kleber Cardoso, Filipe Sousa, and Waldir Moreira. "A Lightweight Slice-Based Quality of Service Manager for IoT." IoT 1, no. 1 (August 4, 2020): 49–75. http://dx.doi.org/10.3390/iot1010004.
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Industry 4.0 and digital farming rely on modern communication and computation technologies such as the Internet of Things (IoT) to provide smart manufacturing and farming systems. Having in mind a scenario with a high number of heterogeneous connected devices, with varying technologies and characteristics, the deployment of Industry 4.0 and digital farming solutions faces innovative challenges in different domains (e.g., communications, security, quality of service). Concepts such as network slicing and Software-Defined Networking (SDN) provide the means for faster, simpler, scalable and flexible solutions in order to serve a wide range of applications with different Quality-of-Service (QoS) requirements. Hence, this paper proposes a lightweight slice-based QoS manager for non-3GPP IoT focusing on different use cases and their varying requirements and characteristics. Our focus in this work is on non-3GPP IoT unlicensed wireless technologies and not specifically the end-to-end network slice perspective as described in 5G standards. We implemented and evaluated different QoS models in distinct scenarios in a real experimental environment in order to illustrate the potential of the proposed solution.
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Shrabanee, Swagatika, and Amiya Kumar Rath. "SDN-cloud: a power aware resource management system for efficient energy optimization." International Journal of Intelligent Unmanned Systems 8, no. 4 (May 15, 2020): 321–43. http://dx.doi.org/10.1108/ijius-07-2019-0032.
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PurposeIn modern cloud services, resource provisioning and allocation are significant for assigning the available resources in efficient way. Resource management in cloud becomes challenging due to high energy consumption at data center (DC), virtual machine (VM) migration, high operational cost and overhead on DC.Design/methodology/approachIn this paper, the authors proposed software-defined networking (SDN)-enabled cloud for resource management to reduce energy consumption in DC. SDN-cloud comprises four phases: (1) user authentication, (2) service-level agreement (SLA) constraints, (3) cloud interceder and (4) SDN-controller.FindingsResource management is significant for reducing power consumption in CDs that is based on scheduling, VM placement, with Quality of Service (QoS) requirements.Research limitations/implicationsThe main goal is to utilize the resources energy effectively for reducing power consumption in cloud environment. This method effectively increases the user service rate and reduces the unnecessary migration process.Originality/valueAs a result, the authors show a significant reduction in energy consumption by 20 KWh as well as over 60% power consumption in the presence of 500 VMs. In future, the authors have planned to concentrate the issues on resource failure and also SLA violation rate with respect to number of resources will be decreased.
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Purohit, Prathamesh, Ruturaj Kadikar, M. Susila, and B. Amutha. "Study of optimization parameters for service chaining in cloud environment." International Journal of Engineering & Technology 7, no. 2.4 (March 10, 2018): 190. http://dx.doi.org/10.14419/ijet.v7i2.4.13037.
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and it is growing towards integration of 5G technology in near future. Therefore, to improve the quality of experience for viewing the content over the internet requires dynamic allocation and adaptation of network resources in an optimized manner. Traditional IP networks are vertically integrated hence flexibility in network resources management is very less. Software-defined networking (SDN) as an emerging technology, which comes with the promise of the solution to dynamically govern various network resources by breaking this chain or hierarchy of vertical integration. Network function virtualization along with service chain optimization provides the solution to enhance the Quality of Experience (QoE) and Quality of Service (QoS). In this paper, we are proposing an approach to improve the QoE by ameliorating the service chain and data center parameters.
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Jeon, Myunghoon, Namgi Kim, Yehoon Jang, and Byoung-Dai Lee. "An Efficient Network Resource Management in SDN for Cloud Services." Symmetry 12, no. 9 (September 21, 2020): 1556. http://dx.doi.org/10.3390/sym12091556.
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With the recent advancements in cloud computing technology, the number of cloud-based services has been gradually increasing. Symmetrically, users are asking for quality of experience (QoE) to be maintained or improved. To do this, it has become necessary to manage network resources more efficiently inside the cloud. Many theoretical studies for improving the users’ QoE have been proposed. However, there are few practical solutions due to the lack of symmetry between implementation and theoretical researches. Hence, in this study, we propose a ranking table-based network resource allocation method that dynamically allocates network resources per service flow based on flow information periodically collected from a software defined network (SDN). It dynamically identifies the size of the data transmission for each service flow on the SDN and differentially allocates network resources to each service flow based on this size. As a result, it maintains the maximum QoE for the user by increasing the network utilization. The experimental results show that the proposed method achieves 29.4% higher network efficiency than the general Open Shortest Path First (OSPF) method on average.
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Hoßfeld, Tobias, Poul E. Heegaard, Lea Skorin-Kapov, and Martin Varela. "On system QoE." ACM SIGMultimedia Records 11, no. 2 (June 2019): 1. http://dx.doi.org/10.1145/3524274.3524279.
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With Quality of Experience (QoE) research having made significant advances over the years, increased attention is being put on exploiting this knowledge from a service/network provider perspective in the context of the user-centric evaluation of systems. Current research investigates the impact of system/service mechanisms, their implementation or configurations on the service performance and how it affects the corresponding QoE of its users. Prominent examples address adaptive video streaming services, as well as enabling technologies for QoE-aware service management and monitoring, such as SDN/NFV and machine learning.
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Shi, Yulong, Yang Zhang, Hans-Arno Jacobsen, Lulu Tang, Geoffrey Elliott, Guanqun Zhang, Xiwei Chen, and Junliang Chen. "Using Machine Learning to Provide Reliable Differentiated Services for IoT in SDN-Like Publish/Subscribe Middleware." Sensors 19, no. 6 (March 25, 2019): 1449. http://dx.doi.org/10.3390/s19061449.
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At present, most publish/subscribe middlewares suppose that there are equal Quality of Service (QoS) requirements for all users. However, in many real-world Internet of Things (IoT) service scenarios, different users may have different delay requirements. How to provide reliable differentiated services has become an urgent problem. The rise of Software-Defined Networking (SDN) provides endless possibilities to improve the QoS of publish/subscribe middlewares due to its greater programmability. We can encode event topics and priorities into flow entries of SDN switches directly to meet customized requirements. In this paper, we first propose an SDN-like publish/subscribe middleware architecture and describe how to use this architecture and priority queues supported by OpenFlow switches to realize differentiated services. Then we present a machine learning method using the eXtreme Gradient Boosting (XGBoost) model to solve the difficult issue of getting the queuing delay of switches accurately. Finally, we propose a reliable differentiated services guarantee mechanism according to the queuing delay and the programmability of SDN to improve QoS, namely, a two-layer queue management mechanism. Experimental evaluations show that the delay predicted by the XGBoost method is closer to the real value; our mechanism can save end-to-end delay, reduce packet loss rate, and allocate bandwidth more reasonably.
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Košťál, Kristián, Rastislav Bencel, Michal Ries, Peter Trúchly, and Ivan Kotuliak. "High Performance SDN WLAN Architecture." Sensors 19, no. 8 (April 19, 2019): 1880. http://dx.doi.org/10.3390/s19081880.
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Wireless Local Area Network (WLAN) infrastructure is a dominant technology for direct access to the Internet and for cellular mobile data traffic offloading to WLANs. Additionally, the enterprise infrastructure can be used to provide functionality for the Internet of Things and Machine to Machine scenarios. This work is focused on improvements of radio resources control scalability similar to mobile networks via handover between cells. We introduce an improved IEEE 802.11 architecture utilizing Software-Defined Networks (SDNs). The proposed architecture allows communications during device movements without losing a quality of service (QoS). The fast seamless handover with QoS enables efficient usage of radio resources in large networks. Our improvements consist of integrating wireless management to OpenFlow protocol, separating encryption and decryption from an access point. In parallel, this feature as a side effect unloads processing at the Access Points (APs). Finally, the functionality of architecture design and scalability was proven by Colored Petri Nets (CPNs). The second proof of our concept was performed on two scenarios. The first scenario was applied to a delay sensitive use case. The second scenario considers a network congestion in real world conditions. Client’s mobility was integrated into both scenarios. The design was developed to demonstrate SDN WLAN architecture efficiency.
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Safrianti, Ery, Linna Oktaviana Sari, and Rian Arighi Mahan. "Optimization of Universitas Riau Data Network Management Using Software Defined Network (SDN)." International Journal of Electrical, Energy and Power System Engineering 2, no. 3 (October 9, 2019): 10–14. http://dx.doi.org/10.31258/ijeepse.2.3.10-14.
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Computer networks are one of the main parts in the telecommunications system. To support reliable network technology, a centralized network is needed so that network traffic can be managed more easily. Software-Defined Network (SDN) technology is a centralized network that provides a separation between control planes and data planes in different systems. This study discusses the optimization of network management at the University of Riau (UNRI) using SDN. Optimization is done by designing a UNRI computer network in the form of SDN then simulated using the Mininet. Quality of Service (QoS) analysis is performed from the measurement results using Wireshark. The network simulation results give a delay value of 0.506 ms, 0% packet loss, the throughput of 590,392 Mb / s and jitter of 0.093 ms. The SDN network provides better delay and jitter performance compared to conventional UNRI networks with a delay value of 13,874 ms, 0% packet loss, 635.1 Mb/s throughput and 2.6 ms jitter. UNRI's SDN network design is worth considering because it has better QoS values, delay, and jitter below ITU standards and conventional networks.
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Huang, Huifen, Zhihong Wu, Jin Ge, and Lu Wang. "Toward Building Video Multicast Tree with Congestion Avoidance Capability in Software-Defined Networks." International Arab Journal of Information Technology 17, no. 2 (February 28, 2019): 162–69. http://dx.doi.org/10.34028/iajit/17/2/3.
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Network congestion is an obstacle to a Quality of Service (QoS) guarantee for online video applications, because it leads to a high packet loss rate and long transmission delay. In the Software-Defined Network (SDN), the controller can conveniently obtain the network topology and link bandwidth use situation. Based on the above advantages, an SDN-based video multicast routing solution, called Congestion Avoidance Video Multicast (CAVM), is proposed in this paper. CAVM obtains overall network topology, monitors available bandwidth resource and measures the link delays based on the OpenFlow, a popular SDN southbound interface. We introduce a novel multicast routing problem, named the Delay-Constrained and Minimum Congestion-Cost Multicast Routing (DCMCCMR) problem, which finds the multicast tree with the lowest congestion cost and a source-destination delay constraint in the SDN environment. The DCMCCMR problem is NP-hard. CAVM uses an algorithm to solve it in polynomial time. Our experimental results confirm that the proposed algorithm can build multicast trees with good congestion avoidance capability
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Tian, Chen, Jie Wu, and Haibin Song. "Software-Defined Networking in Access Networks." International Journal of Web Services Research 12, no. 1 (January 2015): 1–11. http://dx.doi.org/10.4018/ijwsr.2015010101.
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Software-Defined Networking proposes to fundamentally change the current practice of network control. The two basic ideas are Centralized State Control and Uniform Device Abstraction, which support the Software-Defined promise. SDN has made significant progress. The opportunities of SDN in carrier access networks have been largely ignored by both industry and academia. In access networks, Quality-of-Service (QoS) oriented bandwidth management is more critical; the flexible QoS provisioning could be the most important opportunity for SDN. In this position paper, the authors show that the unique characteristics of access networks pose significant challenges to the two basic ideas. Contrary to the common agreement on “match-action” abstraction, the authors argue that the object-oriented abstraction might be a better choice for access networks to make a better software-defined implementation.
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Daneshmand, Behrooz. "Analysis and evaluation of the effectiveness of methods for ensuring the quality of service for software-defined networks of the standard 5G/IMT-2020." Russian Technological Journal 9, no. 5 (October 26, 2021): 14–25. http://dx.doi.org/10.32362/2500-316x-2021-9-5-14-25.
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The quality of service (QoS) in networking is the process of managing network resources to reduce packet loss and to lower network jitter and latency. QoS has been widely used in traditional network and can also be implemented in the 5G standard based on a software-defined network (SDN). A traditional network carries several challenges, such as vendor dependency, the complexity of managing a large network, dynamically changing forwarding policies, and more. Software-defined networking is a new networking strategy designed to address the challenges of a traditional IP network, such as high levels of complexity and inability to adapt to the new quality of service requirements in a timely manner. The fundamental idea behind SDNs compared to the conventional networking paradigm is the creation of horizontally integrated systems through the separation of the control and the data plane while providing an increasingly sophisticated set of abstractions. Recently, various SDN-enabled QoS frameworks have emerged that offer many possibilities for network reconfiguration and high-level definition of policies. QoS requirements for 5G networks have been defined on the basis of three main categories of use cases: extreme mobile broadband (xMBB), massive machine type communications (mMTC) IoT/M2M devices, and highly reliable М2М-communication (ultra-reliable machine-type communications – uMTC). This paper analyzes and surveys the QoS based on the openflow protocol method and QoS based on open-source SDN controllers method in 5G network. In addition, we discuss various architectural issues of open-source SDN controllers network and examine their impact on the QoS. Furthermore, we outline the characteristics of the QoS parameters such as latency, availability, reliability, jitter, and bandwidth in the 5G network. Finally, the article discusses and compares parameters of the QoS in 5G determined by world’s leaders in 5G technology.
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Khoerotunisa, Icha Nurlaela, Sofia Naning Hertiana, and Ridha Muldina Negara. "ANALYSIS OF USER MOBILITY PERFORMANCE ON SOFTWARE DEFINED WIRELESS NETWORK USING DIJKSTRA ALGORITHM." Jurnal Teknik Informatika (Jutif) 2, no. 2 (March 28, 2021): 127–33. http://dx.doi.org/10.20884/1.jutif.2021.2.2.84.
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Over the last decade, wireless devices have developed rapidly until predictions will develop with high complexity and dynamic. So that new capabilities are needed for wireless problems in this problem. Software Defined Network (SDN) is generally a wire-based network, but to meet the needs of users in terms of its implementation, it has begun to introduce a Wireless-based SDN called Software Defined Wireless Network (SDWN) which provides good service quality and reach and higher tools, so as to be able to provide new capabilities to wireless in a high complexity and very dynamic. When SDN is implemented in a wireless network it will require a routing solution that chooses paths due to network complexity. In this paper, SDWN is tested by being applied to mesh topologies of 4,6 and 8 access points (AP) because this topology is very often used in wireless-based networks. To improve network performance, Dijkstra's algorithm is added with the user mobility scheme used is RandomDirection. The Dijkstra algorithm was chosen because it is very effective compared to other algorithms. The performance measured in this study is Quality of Service (QoS), which is a parameter that indicates the quality of data packets in a network. The measurement results obtained show that the QoS value in this study meets the parameters considered by the ITU-T G1010 with a delay value of 1.3 ms for data services and packet loss below 0.1%. When compared with the ITU-T standard, the delay and packet loss fall into the very good category.
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Kanivets, Z., and A. Vybornova. "A SURVEY ON MACHINE LEARNING ALGORITHMS FOR SOFTWARE-DEFINED NETWORKS." Telecom IT 9, no. 3 (December 15, 2021): 11–21. http://dx.doi.org/10.31854/2307-1303-2021-9-3-11-21.
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With the advent of the concept of Software-Defined Networks with a centralized control plane, it became possible to collect a huge amount of information about the network, for example,
network topology, network congestion, the state of network devices. This data can be used to train machine learning algorithms. Moreover, these algorithms can be applied for completely different purposes, such as traffic classification, quality of service, optimization of traffic transmission routes, resource management, and security. Research subject of this article consist on the different aspects of SDN operating that can be optimized with ML. Research method is an analysis of the literature on the subject. Core results are analysis and classification of the areas and methods of the ML algorithms implementation for the SDN. Practical relevance of the work is that the results can be used for optimization of different SDN characteristics.
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Park, Joonseok, Jeseung Hwang, and Keunhyuk Yeom. "NSAF: An Approach for Ensuring Application-Aware Routing Based on Network QoS of Applications in SDN." Mobile Information Systems 2019 (April 23, 2019): 1–16. http://dx.doi.org/10.1155/2019/3971598.
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The advent of software-defined networking (SDN) has led to the paradigm of programmable network environments. Conceptually, the structure of SDN is divided into three layers: application, control, and infrastructure. The SDN controller in the control layer can configure and execute the routing of applications to the infrastructure layer consisting of network devices, including hosts and switches. Current studies on SDN have predominantly focused on control layer aspects, such as controller development, performance aspects of the controller, and interaction among different controllers and between controllers and network devices. However, to provide seamless network services and efficiently manage network environments, application-aware routing is essential because applications may have different quality of service (QoS) requirements, such as maximum bandwidth and minimum delay. This study proposes the Network Situation-Aware Framework (NSAF) to more efficiently handle application routing based on the QoS requirements and changing network status. A mechanism for supporting the NSAF consisting of application registration, network status monitoring, violation detection, and routing control is also presented. The applicability and feasibility of the proposed NSAF are verified by implementing a prototype. The NSAF may be used as a reference model for efficiently managing SDN-based networks to ensure application QoS.
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Djeldjeli, Y., and M. Zoubir. "CP-SDN: A New Approach for the Control Operation of 5G Mobile Networks to Improve QoS." Engineering, Technology & Applied Science Research 11, no. 2 (April 11, 2021): 6857–63. http://dx.doi.org/10.48084/etasr.4016.
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Today, the Software Defined Network (SDN) technology gives more efficiency and flexibility to the 5G mobile networks that are expected to support an enormous amount of data relating to various constrained services. The 5G network should implement newer approaches and technologies that allow supporting the scalability and mobility of the network. The SDN approach consists of decoupling between the control operation and the networking operation, where the control operation is held by the SDN controller that is responsible for defining the management and the control rules. Data forwarding is performed by switches that apply rules defined by their controllers. In the current study, we have proposed and defined a new approach named CP-SDN: Cooperative Protocol-SDN, as an extension to the existing Software Defined Networks, especially when the network experiences saturation due to the huge amount of exchanged data. This congestion may affect the constrained flow and leads to an undesired delay that affects the network Quality of Service (QoS). CP-SDN consists of a cooperation technique between neighboring controllers that aims to relieve the congested centers and redirect the extra flow through neighbors. CP-SDN processing keeps controller databases updated and assures the optimized path for the extra flow when network congestion occurs. The performed simulations on calculating the e-Mbb and M-iOT delay performances for various probability densities show that CP-SDN brings more reliability and efficiency in reducing the transmission delay and overcome the existing SDN scheme. This makes it a prime candidate for the evolved high scalable 5G networks.
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Chen, Chao, Feifan Xue, Zhengyong Lu, Zhongyun Tang, and Chuanhuang Li. "RLMR: Reinforcement Learning Based Multipath Routing for SDN." Wireless Communications and Mobile Computing 2022 (February 18, 2022): 1–12. http://dx.doi.org/10.1155/2022/5124960.
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In recent years, as a new subject in the computer field, artificial intelligence has developed rapidly, especially in reinforcement learning (RL) and deep reinforcement learning. Combined with the characteristics of Software Defined Network (SDN) for centralized control and scheduling, resource scheduling based on artificial intelligence becomes possible. However, the current SDN routing algorithm has the problem of low link utilization and is unable to update and adjust according to the real-time network status. This paper aims to address these problems by proposing a reinforcement learning-based multipath routing for SDN (RLMR) scheme. RLMR uses Markov Decision Process (MDP) and Q-Learning for training. Based on the real-time information of network state and flow characteristics, RLMR performs routing for different flows. When there is no link that meets the bandwidth requirements, the remaining flows are redistributed according to the Quality of Service (QoS) priority to complete the multipath routing. In addition, this paper defines the forward efficiency (FE) to measure the link bandwidth utilization (LBU) under multipath routing. Simulation results show that compared with the current mainstream shortest path algorithm and ECMP algorithm, the routing algorithm in RLMR has advantages in FE, jitter, and packet loss rate. It can effectively improve the efficiency and quality of routing.
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AlSous, Ammar, and Jorge Marx Gómez. "A QoS-Enhanced Model for Inter-Site Backup Operations in Cloud SDN." International Journal of Information Technologies and Systems Approach 12, no. 1 (January 2019): 20–36. http://dx.doi.org/10.4018/ijitsa.2019010102.
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Data centers backup using a cloud service is a significant operation that saves the data from being lost. It reduces the costs and optimize the hardware provisioning level. Software defined networking (SDN) is a growing network paradigm which divides the usual monolithic control and data plane found in the classical network paradigm. It improves and simplifies the network management process. This research addresses a specific problem in SDNs regarding Quality of Service (QoS) target achievement in backup operations between data centers (inter-site). This fundamental backup activity has special QoS requirements. The aim of this article is to provide a new cost-efficient inter-site backup model for cloud networks using the SDN technique. It helps in choosing a path to perform the backup in the current network according to customer's and provider's requirements, while taking the QoS parameters into consideration simultaneously, in order to achieve an efficient-cost solution.
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Hu, Siquan, Xinyu Wang, and Zhiguo Shi. "A Software Defined Network Scheme for Intra Datacenter Network Based on Fat-Tree Topology." Journal of Physics: Conference Series 2025, no. 1 (September 1, 2021): 012106. http://dx.doi.org/10.1088/1742-6596/2025/1/012106.
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Abstract Nowadays datacenters face a big challenge, because the development of cloud services requests a large amount of capital input, high maintenance skills and cost. The major disadvantages of current datacenter network include the high cost of equipment and maintenance, QoS, failure recovery time, network virtualization etc. In this paper, we proposed a software defined datacenter network. The programmable controller is responsible for the management of the traffic scheduling including topology discovery, routing and Quality of Service. The SDN is based on Fat-tree network architecture and max-min fairness. A Genetic Algorithm optimized Radial Basis Function neural network is used to compute the service weight for maximizing the utilization of network resource. An experiment of the network bearing different kinds of services based on Openflow is described. This well-designed fat-tree network has high efficiency in traffic distribution, and has integrated the traditional network architecture and new SDN technology.
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Хазизулин, В. Б. "A MEDICAL SERVICE OF IMPROPER QUALITY: SOME ASPECTS OF THE INVESTIGATION METHODOLOGY." Modern Science, no. 6 (December 8, 2021): 27–31. http://dx.doi.org/10.53039/2079-4401.2021.8.6.006.
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В статье рассматриваются преступления против здоровья населения и в сфере охраны жизни и здоровья человека, совершаемые медицинскими работниками. Обосновывается необходимость объединения этих преступлений в качестве единого объекта криминалистического исследования. Приводятся примеры фактов привлечения работников системы здравоохранения к уголовной ответственности за оказание услуг, не отвечающих требованиям безопасности. Определяются законодательные пробелы, связанные с отсутствием уголовно-правовой охраны человеческого плода в процессе родового акта, а также с невозможностью применения квалифицирующих признаков указанных преступлений в случае виновного причинения гибели плоду. The article considers crimes against public health and in the sphere of protection of life and health committed by medical workers.The necessity of combining these crimes as a single object of forensic investigation is substantiated. Examples of bringing of health care workersto criminal liability for the provision of services that do not meet the safety requirements are given. The legislative gaps associated with the lack ofcriminal law protection of human fetus in the process of delivery, as well as the inability to apply the qualifying signs of these crimes in the case ofculpable causing the death of a human fetus are identified.
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Mohammadi, Reza, and Reza Javidan. "An Intelligent Traffic Engineering Method over Software Defined Networks for Video Surveillance Systems Based on Artificial Bee Colony." International Journal of Intelligent Information Technologies 12, no. 4 (October 2016): 45–62. http://dx.doi.org/10.4018/ijiit.2016100103.
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In applications such as video surveillance systems, cameras transmit video data streams through network in which quality of received video should be assured. Traditional IP based networks cannot guarantee the required Quality of Service (QoS) for such applications. Nowadays, Software Defined Network (SDN) is a popular technology, which assists network management using computer programs. In this paper, a new SDN-based video surveillance system infrastructure is proposed to apply desire traffic engineering for practical video surveillance applications. To keep the quality of received videos adaptively, usually Constraint Shortest Path (CSP) problem is used which is a NP-complete problem. Hence, heuristic algorithms are suitable candidate for solving such problem. This paper models streaming video data on a surveillance system as a CSP problem, and proposes an artificial bee colony (ABC) algorithm to find optimal solution to manage the network adaptively and guarantee the required QoS. The simulation results show the effectiveness of the proposed method in terms of QoS metrics.
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Kyung, Yeunwoong, and Tae-Kook Kim. "QoS-Aware Flexible Handover Management in Software-Defined Mobile Networks." Applied Sciences 10, no. 12 (June 22, 2020): 4264. http://dx.doi.org/10.3390/app10124264.
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Handover support is one of the important issues in mobile networks to guarantee the quality of service (QoS) requirements for mobile users. Alongside the development of network technologies, handover management to provide service continuity has been researched and applied for the Internet or cellular networks such as 3G/4G/5G. However, each network paradigm provides its own individual handover management system, even though there are different kinds of QoS requirements for various mobile services. This causes inefficient network resource utilization from the network operators’ perspectives. Therefore, this paper proposes a QoS-aware flexible mobility management scheme for software-defined networking (SDN)-based mobile networks. The proposed scheme classifies flows into four classes based on the QoS requirements of services in terms of delay and loss tolerance. According to the classified service characteristics, it provides a differential handover method for each flow class to support efficient network operation without any service degradation by interacting between the forwarding plane nodes and SDN controller. The performance analysis shows that the proposed scheme enables flexible network resource utilization, satisfying the QoS requirements for each class well compared to the conventional schemes that only consider their own individual handover procedure.
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Salman et al., Mustafa I. "Software Defined Network of Video Surveillance System Based on Enhanced Routing Algorithms." Baghdad Science Journal 17, no. 1(Suppl.) (March 18, 2020): 0391. http://dx.doi.org/10.21123/bsj.2020.17.1(suppl.).0391.
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Software Defined Network (SDN) is a new technology that separate the control plane from the data plane. SDN provides a choice in automation and programmability faster than traditional network. It supports the Quality of Service (QoS) for video surveillance application. One of most significant issues in video surveillance is how to find the best path for routing the packets between the source (IP cameras) and destination (monitoring center). The video surveillance system requires fast transmission and reliable delivery and high QoS. To improve the QoS and to achieve the optimal path, the SDN architecture is used in this paper. In addition, different routing algorithms are used with different steps. First, we evaluate the video transmission over the SDN with Bellman Ford algorithm. Then, because the limitation of Bellman ford algorithm, the Dijkstra algorithm is used to change the path when a congestion occurs. Furthermore, the Dijkstra algorithm is used with two controllers to reduce the time consumed by the SDN controller. POX and Pyretic SDN controllers are used such that POX controller is responsible for the network monitoring, while Pyretic controller is responsible for the routing algorithm and path selection. Finally, a modified Dijkstra algorithm is further proposed and evaluated with two controllers to enhance the performance. The results show that the modified Dijkstra algorithm outperformed the other approaches in the aspect of QoS parameters.