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1
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.
Повний текст джерелаАнотація:
<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>
2
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.
Повний текст джерелаАнотація:
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.
3
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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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.
5
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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерела
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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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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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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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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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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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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.
Повний текст джерелаАнотація:
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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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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Humbatov, R. T., B. G. Ibrahimov, A. A. Alieva, and R. F. Ibrahimov. "Approaches to the Analysis Performance Indicators Multiservice Telecommunication Networks Based on SDN Technology." INFORMACIONNYE TEHNOLOGII 27, no. 8 (August 11, 2021): 419–24. http://dx.doi.org/10.17587/it.27.419-424.
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The quality of functioning multiservice telecommunication networks based on the architectural concept Next Generation Network (NGN) and Future Networks (FN) using modern innovative technologies has been analyzed. Based on the study, a new approach to the construction model for assessing performance indicators multiservice telecommunication networks based on SDN (Software Defined Networking) technologies, taking into account the property self-similarity traffic is proposed. On the basis of the proposed approach, complex indicators MTS were investigated, taking into account the requirement QoS (Quality of Service) and QoE (Quality of Experience). The mathematical apparatus and the results of the study throughput software and hardware complexes, the probabilistic-time characteristics of the network and the management physical resources in the provision multimedia services are presented. Models have been investigated and analytical expressions have been obtained for the assessment complex indicators of the quality offunctioning MTS in the provision multimedia services with the necessary parameters. А numerical analysis is carried out and a graphical dependence of the maximum network throughput on the total number software and hardware systems for a given system load factor is built.
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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.
Повний текст джерелаАнотація:
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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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.
Повний текст джерелаАнотація:
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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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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Kim, Dongkyun, and Yong-Hwan Kim. "Dynamic Virtual Network Slicing and Orchestration for Selective MEC Services over Wide-Area SDN." Algorithms 13, no. 10 (September 27, 2020): 245. http://dx.doi.org/10.3390/a13100245.
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Multi-access edge computing (MEC) has become an essential technology for collecting, analyzing, and processing data generated by widely distributed user equipment (UE), wireless end-hosts, Internet of things (IoT) sensors, etc., providing real-time and high-quality networking services with ultralow end-to-end latency guaranteed between various user devices and edge cloud computing nodes. However, the cloud resources at the MEC on-site (access point) and edge site are restricted and insufficient mainly because of the operation and management constraints (e.g., limited space and capacity), particularly in the case of on-demand and dynamic service resource deployment. In this regard, we propose a selective MEC resource allocation scheme adopting a multitier architecture over a wide-area software-defined network (SDN) on the basis of our recent research work on virtual network slicing and resource orchestration. The proposed scheme provides an optimized MEC selection model considering end-to-end latency and efficient service resource utilization on the basis of the hierarchical MEC service architecture.
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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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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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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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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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Wang, S., Q. Sun, and F. Yang. "Quality of service measure approach of web service for service selection." IET Software 6, no. 2 (2012): 148. http://dx.doi.org/10.1049/iet-sen.2010.0093.
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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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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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Anitha, H. M., and P. Jayarekha. "An Software Defined Network Based Secured Model for Malicious Virtual Machine Detection in Cloud Environment." Journal of Computational and Theoretical Nanoscience 17, no. 1 (January 1, 2020): 526–30. http://dx.doi.org/10.1166/jctn.2020.8481.
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Cloud computing is an emerging technology that offers the services to all the users as per their demand. Services are leveraged according to the Service level agreement (SLA). Service level agreement is monitored so that services are offered to the users without any problem and deprival. Software Defined Network (SDN) is used in order to monitor the trust score of the deployed Virtual Machines (VM) and Quality of Service (QoS) parameters offered. Software Defined Network controller is used to compute the trust score of the Virtual Machines and find whether Virtual Machine is malicious or trusted. Genetic algorithm is used to find the trusted Virtual Machine and release the resources allocated to the malicious Virtual Machine. This monitored information is intimated to cloud provider for further action. Security is enhanced by avoiding attacks from the malicious Virtual Machine in the cloud environment. The main objective of the paper is to enhance the security in the system using Software Defined Network based secured model.
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Nugroho, Herry Prasetyo, Muhammad Irfan, and Amrul Faruq. "Software Defined Networks: a Comparative Study and Quality of Services Evaluation." Scientific Journal of Informatics 6, no. 2 (December 1, 2019): 181–92. http://dx.doi.org/10.15294/sji.v6i2.20585.
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Software-Defined Network (SDN) as architecture network that separates the control and forwarding functions, so that network operators and administrators can configure the networks in a simple and centrally between thousands of devices. This study is designed and evaluate the Quality of Services (QoS) performances between the two networks employed SDN-based architecture and without SDN-based. MinNet as a software emulator used as a data plane in the network Software Define Network. In this study, comparison of the value of the QoS on the network based on Software Defined Network and traditional network during the test run from the source node is investigated. Network testing by using traffic loads. Traffic loads are used starting from 20Mbps-100Mbps. The result is verified that the QoS analysis of the Software-Defined Network architecture performed better than conventional network architectures. The value of the latency delay on the Software Define Network range between 0,019-0,084ms, and with 0% packet loss when addressed the network traffics of 10-100Mbps.
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Zhang, Yingcheng, and Gang Zhao. "LSEA: Software-Defined Networking-Based QoS-Aware Routing Mechanism for Live-Soccer Event Applications in Smart Cities." Wireless Communications and Mobile Computing 2020 (November 7, 2020): 1–8. http://dx.doi.org/10.1155/2020/8829868.
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The smart cities provide a better connection between services and citizens based on new Internet technologies. During the building process of smart cities, some burgeoning applications have been emerging and changing the daily lifestyle of people, e.g., live streaming applications. Especially, the live-soccer event applications have attracted much attention and can improve people’s enjoyment of life to a great extent, such as the Europe five major league matches and FIFA world cup. For such applications, the traditional routing strategies cannot do Quality-of-Service (QoS) awareness, and thus, the network performance and the Quality of Experience (QoE) of users cannot be guaranteed. In this paper, we employ Software-Defined Networking (SDN) to make QoS awareness for the special live-soccer event applications, in which the QoS-aware routing mechanism is proposed, called LSEA. Meanwhile, delay, delay jitter, and packet loss rate are considered as three objects. On this basis, the improved Dijkstra routing algorithm and SDN-based disjoint routing algorithm are devised. Finally, the proposed LSEA is implemented over Mininet, and the experimental results demonstrate its feasibility and efficiency.
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Wang, Juan, and Di Li. "Adaptive Computing Optimization in Software-Defined Network-Based Industrial Internet of Things with Fog Computing." Sensors 18, no. 8 (August 1, 2018): 2509. http://dx.doi.org/10.3390/s18082509.
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In recent years, cloud computing and fog computing have appeared one after the other, as promising technologies for augmenting the computing capability of devices locally. By offloading computational tasks to fog servers or cloud servers, the time for task processing decreases greatly. Thus, to guarantee the Quality of Service (QoS) of smart manufacturing systems, fog servers are deployed at network edge to provide fog computing services. In this paper, we study the following problems in a mixed computing system: (1) which computing mode should be chosen for a task in local computing, fog computing or cloud computing? (2) In the fog computing mode, what is the execution sequence for the tasks cached in a task queue? Thus, to solve the problems above, we design a Software-Defined Network (SDN) framework in a smart factory based on an Industrial Internet of Things (IIoT) system. A method based on Computing Mode Selection (CMS) and execution sequences based on the task priority (ASTP) is proposed in this paper. First, a CMS module is designed in the SDN controller and then, after operating the CMS algorithm, each task obtains an optimal computing mode. Second, the task priorities can be calculated according to their real-time performance and calculated amount. According to the task priority, the SDN controller sends a flow table to the SDN switch to complete the task transmission. In other words, the higher the task priority is, the earlier the fog computing service is obtained. Finally, a series of experiments and simulations are performed to evaluate the performance of the proposed method. The results show that our method can achieve real-time performance and high reliability in IIoT.
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Monita, Vivi, Indrarini Dyah Irawati, and Rohmat Tulloh. "Comparison of routing protocol performance on multimedia services on software defined network." Bulletin of Electrical Engineering and Informatics 9, no. 4 (August 1, 2020): 1612–19. http://dx.doi.org/10.11591/eei.v9i4.2389.
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Software defined network (SDN) is a new paradigm in network engineering, where control plane and data plane are separated. Data plane is carried out on each node, while a control plane is centrally located. In conventional networks, the planes are implemented in the firmware of the router. In this paper, we implemented multimedia services on SDN using exterior and interior routing protocols, such as open shortest path first (OSPF), border gateway protocol (BGP) and routing information protocol (RIP), measured the quality of service (QoS), and analyze the measurement results. The test results showed that the greater the background traffic provided, the smaller the throughput. Traffic on the network will be congested, so the available bandwidth is also increasingly used up so that the number of bits sent every second decrease. Mean opinion score (MOS) test results are 4 showing good categories based on ITU-T standards.
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Manzanares-Lopez, Pilar, Josemaria Malgosa-Sanahuja, and Juan Muñoz-Gea. "A Software-Defined Networking Framework to Provide Dynamic QoS Management in IEEE 802.11 Networks." Sensors 18, no. 7 (July 12, 2018): 2247. http://dx.doi.org/10.3390/s18072247.
Повний текст джерелаАнотація:
In this paper, the concept of SDN (Software Defined Networking) is extended to be applied to wireless networks. Traditionally, in a wired SDN environment, the OpenFlow protocol is the communication protocol used to configure the flow table of forwarding elements (i.e., switches and Access Points). However, although in IEEE 802.11 networks there is no concept of forwarding, the SDN paradigm could also be applied to set up the wireless network dynamically, in order to improve the performance. In this case, not only the network elements, that is the Access Points, but also the mobile elements should configure their link and physical layers parameters following the guidelines of a centralized SDN controller. In particular, we propose a mechanism called DEDCA (Dynamic Enhanced Distributed Channel Access) to manage the channel access in wireless networks, and a framework that enables its implementation in 802.11-based wireless networks using SDN technology. The key aspect of this alternative solution is the control over the contention window size of the wireless terminals. Thus, an adequate response to dynamic and short-term Quality of Service (QoS) requirements can be offered to services running on these networks. DEDCA mechanism relies upon the use of a scalar parameter called gain. The mathematical model which has allowed us to obtain this parameter is presented and evaluated in this paper. Finally, the usefulness of the proposed solutions have been evaluated by means of their implementation in an example case.
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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.
Повний текст джерелаАнотація:
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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Skondras, Emmanouil, Angelos Michalas, Dimitrios J. Vergados, Emmanouel T. Michailidis, Nikolaos I. Miridakis, and Dimitrios D. Vergados. "Network Slicing on 5G Vehicular Cloud Computing Systems." Electronics 10, no. 12 (June 19, 2021): 1474. http://dx.doi.org/10.3390/electronics10121474.
Повний текст джерелаАнотація:
Fifth generation Vehicular Cloud Computing (5G-VCC) systems support various services with strict Quality of Service (QoS) constraints. Network access technologies such as Long-Term Evolution Advanced Pro with Full Dimensional Multiple-Input Multiple-Output (LTE-A Pro FD-MIMO) and LTE Vehicle to Everything (LTE-V2X) undertake the service of an increasing number of vehicular users, since each vehicle could serve multiple passenger with multiple services. Therefore, the design of efficient resource allocation schemes for 5G-VCC infrastructures is needed. This paper describes a network slicing scheme for 5G-VCC systems that aims to improve the performance of modern vehicular services. The QoS that each user perceives for his services as well as the energy consumption that each access network causes to user equipment are considered. Subsequently, the satisfactory grade of the user services is estimated by taking into consideration both the perceived QoS and the energy consumption. If the estimated satisfactory grade is above a predefined service threshold, then the necessary Resource Blocks (RBs) from the current Point of Access (PoA) are allocated to support the user’s services. On the contrary, if the estimated satisfactory grade is lower than the aforementioned threshold, additional RBs from a Virtual Resource Pool (VRP) located at the Software Defined Network (SDN) controller are committed by the PoA in order to satisfy the required services. The proposed scheme uses a Management and Orchestration (MANO) entity implemented by a SDN controller, orchestrating the entire procedure avoiding situations of interference from RBs of neighboring PoAs. Performance evaluation shows that the suggested method improves the resource allocation and enhances the performance of the offered services in terms of packet transfer delay, jitter, throughput and packet loss ratio.
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Isyaku, Babangida, Mohd Soperi Mohd Zahid, Maznah Bte Kamat, Kamalrulnizam Abu Bakar, and Fuad A. Ghaleb. "Software Defined Networking Flow Table Management of OpenFlow Switches Performance and Security Challenges: A Survey." Future Internet 12, no. 9 (August 31, 2020): 147. http://dx.doi.org/10.3390/fi12090147.
Повний текст джерелаАнотація:
Software defined networking (SDN) is an emerging network paradigm that decouples the control plane from the data plane. The data plane is composed of forwarding elements called switches and the control plane is composed of controllers. SDN is gaining popularity from industry and academics due to its advantages such as centralized, flexible, and programmable network management. The increasing number of traffics due to the proliferation of the Internet of Thing (IoT) devices may result in two problems: (1) increased processing load of the controller, and (2) insufficient space in the switches’ flow table to accommodate the flow entries. These problems may cause undesired network behavior and unstable network performance, especially in large-scale networks. Many solutions have been proposed to improve the management of the flow table, reducing controller processing load, and mitigating security threats and vulnerabilities on the controllers and switches. This paper provides comprehensive surveys of existing schemes to ensure SDN meets the quality of service (QoS) demands of various applications and cloud services. Finally, potential future research directions are identified and discussed such as management of flow table using machine learning.