Relevant bibliographies by topics / QoS

Academic literature on the topic 'QoS'

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Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "QoS"

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Putra, Fauzan Prasetyo Eka, Mohammad Aziz, Goffal Arifin, Abd Rohman, Abdulloh Rizki, and Abd Muiz Syam. "Analisis Qos & Qoe." Jurnal Syntax Admiration 5, no. 1 (January 22, 2024): 140–45. http://dx.doi.org/10.46799/jsa.v5i1.973.

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The analysis of quality of service (QoS) and user experience (QoE) has become a major focus in network development. This research adopts a holistic approach to examine the close relationship between QoS and QoE in a rapidly evolving network environment. We review the impact of the interaction between technical aspects (QoS) and user perception (QoE) in the context of multimedia services and high-speed networks. We analyse various QoS evaluation methods as well as factors affecting QoE, considering the dynamics of changes in user preferences. The review covers a wide range of related research conducted by key researchers in this field, including applied models and recent findings related to improving quality of service in modern networks.
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Sarwar, Ghulam, Farman Ullah, and Sungchang Lee. "QoS and QoE Aware N-Screen Multicast Service." Journal of Sensors 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/8040138.

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The paper focuses on ensuring the quality-of-service (QoS) and quality-of-experience (QoE) requirements of users having heterogeneous devices in a multicast session. QoS parameters such as bit rate, delays, and packet losses are good indicators for optimizing network services but fall short in characterizing user perception (QoE). In N-Screen service, the users have different devices with heterogeneous attributes like screen size, resolution, and access network interface, and the users have different QoE on N-Screen devices with the same QoS parameters. We formulate the objective function of the N-Screen multicast grouping to ensure the minimum user’s QoE with smaller bandwidth requirement. We propose a dynamic user reassignment scheme to maintain and satisfy the QoE by adapting the user’s membership to the varying network conditions. The proposed schemes combine the available bandwidth and multimedia visual quality to ensure the QoS and QoE. In the network architecture, we introduce the functions of the QoS and QoE aware multicast group management and the estimation schemes for the QoS and QoE parameters. The simulation results show that the proposed multicast service ensures the network QoS and guarantees the QoE of users in the varying network conditions.
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Merino, Pedro, Maria G. Martini, Raimund Schatz, Lea Skorin-Kapov, and Martin Varela. "Improving QoS and QoE for Mobile Communications." Journal of Computer Networks and Communications 2013 (2013): 1–2. http://dx.doi.org/10.1155/2013/645174.

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Jagarlamudi, Kanaka Sai, Arkady Zaslavsky, Seng W. Loke, Alireza Hassani, and Alexey Medvedev. "Requirements, Limitations and Recommendations for Enabling End-to-End Quality of Context-Awareness in IoT Middleware." Sensors 22, no. 4 (February 19, 2022): 1632. http://dx.doi.org/10.3390/s22041632.

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Satisfying a context consumer’s quality of context (QoC) requirements is important to context management platforms (CMPs) in order to have credibility. QoC indicates the contextual information’s quality metrics (e.g., accuracy, timeliness, completeness). The outcomes of these metrics depend on the functional and quality characteristics associated with all actors (context consumers (or) context-aware applications, CMPs, and context providers (or) IoT-data providers) in context-aware IoT environments. This survey identifies and studies such characteristics and highlights the limitations in actors’ current functionalities and QoC modelling approaches to obtain adequate QoC and improve context consumers’ quality of experience (QoE). We propose a novel concept system based on our critical analysis; this system addresses the functional limitations in existing QoC modelling approaches. Moreover, we highlight those QoC metrics affected by quality of service (QoS) metrics in CMPs. These recommendations provide CMP developers with a reference system they could incorporate, functionalities and QoS metrics to maintain in order to deliver an adequate QoC.
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Charles, A. "Quality of service (QoS) based wireless network for mobile Ad Hoc networks." i-manager’s Journal on Wireless Communication Networks 10, no. 2 (2022): 20. http://dx.doi.org/10.26634/jwcn.10.2.18934.

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Quality of Service (QoS) requirements are possible with actual transmission of updates for wireless applications typically included in mission critical applications such as military use or disaster recovery. This research paper proposes an efficient Secure Quality Oriented Distributed (S-QOD) Secure Enhanced Adaptive 3 Acknowledgment (S-EA3ACK) and implements a new on-demand wireless intrusion detection system. S-QOD can improve a best performance of output quality (QoS) to reduce transmission delay, transmission time and also increase network communication throughput for S-EA3ACK using Enhanced Adaptive Acknowledgement (EAACK) DSA (Digital Signature Algorithm) with MAJE4 symmetric cryptography specially designed for MANET through Network Simulator-2.34 (NS2) to implement it.
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Susiani Pande, Putu Sintia, Pande Ketut Sudiarta, and I. Made Oka Widyantara. "PENGUKURAN KINERJA VOIP DENGAN CODEC G.711?, G.711a DAN G.729 DI MEDIA TRANSMISI NIRKABEL BERBASIS SIP DAN IAX." Jurnal SPEKTRUM 5, no. 1 (June 25, 2018): 21. http://dx.doi.org/10.24843/spektrum.2018.v05.i01.p04.

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Voice over Internet Protocol (VoIP) is a technology that can send real-time data with IP-based networks (Internet Protocol). In VoIP technology with wireless network has several problems that cause the performance of the network to be varied due to the QoS (Quality of Service) include delay, jitter, packet loss and MOS that affect the wireless network. This research uses G.711?, G.711a and G.729 codec based on SIP and IAX server on wireless network which then the QoS result from each codec compared with ITU-T standard which become the reference of whether the network is good or not so that later can realized on campus. In the research results, QoS on wireless IEEE 802.11 b has linear results, whereas QoS wireless in VoIP has fluctuating results because the use of codecs in VoIP on each codec has a large bitrate and different coding techniques and is a feature of wireless networks. The QoS comparison of three codecs produced the best G711 Q7S codecs because the G.711 codec has a bitrate that conforms to the 64 kbps voice communication standard and uses voice coding techniques that match the digital signal encoding technique of PCM (Pulse Code Modulation).
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Ampririt, Phudit, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, and Leonard Barolli. "International Journal of Distributed Systems and Technologies (IJDST)." International Journal of Distributed Systems and Technologies 13, no. 1 (January 1, 2022): 1–25. http://dx.doi.org/10.4018/ijdst.300339.

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In our previous work, we proposed an Integrated Fuzzy-based Admission Control System (IFACS) for admission control in 5G wireless networks. In this paper, we present a new system by considering Service Level Agreement (SLA) as a new parameter. We call this system IFACS-Q3S. We also implemented a new scheme for Slice Overloading Cost (SOC), called Fuzzy-based Scheme for SOC (FSSOC). The SOC is used as a new input for the IFACS-Q3S system. The other input parameters for IFACS-Q3S are Quality of Service (QoS), Slice Priority (SP) and SLA. From simulation results, we conclude that the considered parameters have different effects on the acceptance decision. The increase of QoS, SP, and SLA caused an increase in the AD value, whereas the increase in SOC resulted in a decrease in the AD value. For SOC 0.3, when the QoS value is 0.1 and the SP value is 0.1, in the case when SLA is increased from 0.1 to 0.5 and 0.5 to 0.9, the AD is increased by 5% and 11%, respectively. On the other side, when the SLA value is 0.9, we see that AD is decreased 14% by increasing the SOC values from 0.3 to 0.8.
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Marandi, Dr Arun Kumar, Ms Richa Dogra, Rahul Bhatt, Mr Rajesh Gupta, Somashekar Reddy, and Dr Amit Barve. "Generative Boltzmann Adversarial Network in Manet Attack Detection and QOS Enhancement with Latency." International Journal of Communication Networks and Information Security (IJCNIS) 14, no. 3 (December 31, 2022): 199–213. http://dx.doi.org/10.17762/ijcnis.v14i3.5606.

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Mobile Ad-Hoc Network (MANET) are considered as self-configured network those does not have any centralized base station for the network monitoring and control. MANET environment does not control architecture for routing for the frequent maintenance of topology. The drastic development of Internet leads to adverse effect of development in MANET for different multimedia application those are sensitive to latency. Upon the effective maintenance of the QoS routing route discovery is performed to calculate queue and contention delay. However, the MANET requirement comprises of the complex procedure to withstand the Quality of Service (QoS) with Artificial Intelligence (AI). In MANET it is necessary to compute the MANET attacks with improved QoS with the reduced latency as existing model leads to higher routing and increased latency. In this paper proposed a Generative Boltzmann Networking Weighted Graph (GBNWG) model for the QoS improvement in MANET to reduce latency. With GBNWG model the MANET model network performance are computed with the weighted graph model. The developed weighted graph computes the routes in the MANET network for the estimation of the available path in the routing metrices. The proposed GBNWG model is comparatively estimated with the conventional QOD technique. Simulation analysis stated that GBNWG scheme exhibits the improved performance in the QoS parameters. The GBNWG scheme improves the PDR value by 12%, 41% reduced control packets and 45% improved throughput value.
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Taher, Laila, Rawshan Basha, and Hazem El Khatib. "QoS Constrains Model: Establishing QoS Association for Ontology-Based Web Service Selection Mechanism." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 5 (September 20, 2006): 705–12. http://dx.doi.org/10.20965/jaciii.2006.p0705.

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Quality of Service (QoS) is an important criterion for Web service selection. The work in this paper is based on QoS Information & Computation framework (QoS-IC) [1]. QoS-IC framework supports QoS-based service selection in Service Oriented Architecture (SOA), namely Web services. In this paper, we extend the functionality of QoS-IC framework with QoS-Constraints Model. QoS-Constraints establish an association relationship between different QoS properties and are used to govern the QoS-based service selection in the underlying algorithm. We have enhanced the algorithm to accommodate QoS-Constraints and discussed an experimental evaluation based on an implementation prototype that shows how QoS-Constraints introduce efficiency to the QoS-based service selection mechanism and save valuable time for consumers.
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Charfi, Faiza, Walid Labidi, and J. Marc Thiriet. "Performance Study of a New CSMA/CA Access Method with QoS Based on 802.11b and Comparison with 802.15.4/ZigBee." International Journal of System Dynamics Applications 2, no. 3 (July 2013): 94–112. http://dx.doi.org/10.4018/ijsda.2013070106.

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Wireless Network Controlled Systems (WNCSs) are a new area of research which concerns the implementation of control strategy over wireless networks. Therefore, many potential applications of Wireless Sensor Networks (WSNs) span a wide spectrum in various domains. The dependability of the WNCSs becomes a strong requirement due to real-time requirements of control. The Quality of Control (QoC) is performed through optimally allocating the network resources to ensure the Quality of Service (QoS) and optimally designing controller to compensate for time delays in the control feedback loop. The IEEE 802.11b standard is a really widespread wireless network. However, some QoS properties are missing, compared to more specific protocols, such as 802.15.4. In this paper, the authors present the implementation of an extended model of the IEEE 802.11b standard in order to add more QoS properties through the use of CSMA/CA with the combination of the frame selection sort and the First Come First Served (FCFS) scheduling methods. The control performances of the new model are compared to those of IEEE 802.15.4 with QoS. Several improvements are achieved including a reduction in the number of collisions and priority-based flow control.
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Dissertations / Theses on the topic "QoS"

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Islam, Mohammad Shahidul, and Syed Nasir Mehdi. "How Different QoS Mechanisms Affect VoIP QoS Metrics." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-15337.

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Voice over Internet Protocol (VoIP) has become a key technology of communication. Our work has been a practical implemenation of different scenarios to show that VoIP voice quality can be improved by adopting certain Quality of Service(QoS) measures such as classification, marking or queuing. It has been discussed that different QoS metrics like delay, packet loss and jitter could affect the voice quality of VoIP. To reduce the negative affects, one option is to implement certain QoS mechanisms with some set of configurations. For this purpose, Cisco IP phones have been configured in our topology with routers, switches, traffic generators, end stations and VoIP quality monitoring software called VQmanager. Tests have been divided into two sets. In one test a fixed bandwidth of 70 kbps is set while in the other test a random bandwidth is set with trafic generators unleashing packets of traffic. In both these tests further scenarios with configurations are worked out. They include no QoS, Auto Qos and Customized Qos mechanisms. Results have been indicative of top performance by the Customized QoS mechanism, in both sets of tests, followed by Auto QoS and no QoS mechanisms. It has been observed that a customized scenario could be a particular configuration to any organization’s needs and that will have the lowest delay, jitter and packet loss which are the main QoS metrics that impact the voice quality of VoIP. It  can be fundamentally composed of classification of voice, data or web-traffic, marking and queuing depending upon the need of the organization. It is finally suggested to carry more tests in companies to get more data for analysis
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Stensen, Julianne M. G. "Evaluating QoS and QoE Dimensions in Adaptive Video Streaming." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for telematikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18998.

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The focus of this thesis has been on Quality of Service (QoS) and Qualityof Experience (QoE) dimensions of adaptive video streaming. By carryingout a literature study reviewing the state of the art on QoS andQoE we have proposed several quality metrics applicable to adaptivevideo streaming, amongst them: initial buffering time, mean duration of arebuffering event, rebuffering frequency, quality transitions and bitrate. Perhapscounterintuitively, other research has found that a higher bitratedoes not always lead to a higher degree of QoE. If one look at bitrate inrelation to quality transitions it has been found that users could prefer astable video stream, with fewer quality transitions, at the cost of an overallhigher bitrate. We have conducted two case studies to see if this isconsidered by today’s adaptive video streaming technologies. The casestudies have been performed by means of measurements on the playersof Tv2 Sumo and Comoyo. We have exposed the players to packet lossand observed their behavior by using tools such as Wireshark. Our resultsindicate that neither player take the cost of quality transitions intoaccount in their rate adaptation logic, the players rather strive for a higherquality level. In both cases we have observed a relatively large numberof quality transitions throughout the various sessions. If we were to giveany recommendations to the Over-the-Top (OTT) service providers, wewould advise them to investigate the effects of quality transitions andconsider including a solution for handling potentially negative effects inthe rate adaptation logic of the player.
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Gholamzadeh, Shirmohammadi Bamshad. "Relationships between Quality of experience and TCP flag ratios for web services." Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1031.

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Context: Nowadays one of the most beneficial business in IT area is web services with huge amount of users. The key ofsuccess in these type of services is flexibility in terms of providing same quality of services (QoS) and ability of fasttroubleshooting when number of users increase rapidly. To achieve these targets, evaluation of the user satisfaction is highlyessential. Moreover it is required to link user dissatisfaction to QoS parameters in terms of troubleshooting. Objectives: The main aim the research is to find an intelligent method for evaluation of the user satisfaction. The method isproposed to estimate quality-of-experience (QoE) without asking users to send their feed back. Connecting to this aim, thesecond target is finding the definition of function in equations of QoS=function(QoE). And finally, comparison of theimpact of QoS parameters on mobile application users and web site users is the last objective. Methods: For this research a web-server for video sharing propose is designed. The users can use it via web site or anAndroid mobile application. The three main QoS parameters (Packet-loss, delay and throughput) are changed gradually. Theusers are asked to score the mobile application and web site at the same time. In parallel the traffic of web-server is capturedand analyzed. Then based on variations in mean opinion scores (MOS) and also changes in TCP flags, the proper patternsfor each of the QoS parameters is provided. In this part the QoE is linked to transport layer. For the second objective, theQoE is directly linked to QoS. On the other words the graphs with QoE as horizontal axis and one of the QoS parameters asvertical axis are provided. And finally based on the gradient of these trends, the amount of impact of QoS parameters onmobile application users and web site users is compared. Results: Based on the results of the research, decrement in SYN and FIN flags and increment in ACK is an alarm for downgoing user satisfaction. In this situation, the problem is belongs to packet-loss. Increasing in the percentage of SYN is alsoa signal for user dissatisfaction. In this case, the problem is result of delay. And finally if the web-server problem is aboutthroughput then, SYN, FIN and ACK has up going trends. In all of the cases the rest of TCP flags has not clear up going ordecreasing trend.The correlation between QoS and QoE is formulated. The trends of MOS relative to QoS parameters for mobile phone andlaptop are very similar in case of packet-loss. For throughput the mobile phone users are a little more sensitive. The mostsignificant difference between the MOS values for mobile application and web site is belongs to delay. The increment indelay has really big negative effect on mobile application users. Conclusion: The final method for user satisfaction evaluation is based on the way of variations in the TCP flags. Among allthe flags, SYN, FIN and ACK passed the criteria to make the patterns. Moreover the method indicate the problem isbelongs to which of the QoS parameters. The correlation between QoE and QoS is formulated. And finally according tothese formulas, two separate web-servers for mobile application and web site is recommended.
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Chowdhury, Md Kamal Hossain. "Measuring Impact of QoS on QoE in Mobile Web Services." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-90334.

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With the development of mobile web services, it is important to know for a service provider how Quality of Service (QoS) is related with the Quality of Experience (QoE) for the mobile users. Any change in the QoS could be reflected on the QoE. However, good QoS does not always provide good QoE. Thus, a proper combination of QoS and QoE results in a good user experience. Good understanding of QoS and QoE is necessary in order to achieve that. In addition, identifying the proper relationship between network level QoS and user-end QoE is extremely challenging task which requires the highest level of accuracy. In order to understand the relation between QoS and QoE in a web service, an Apache server was setup with Google Map Web Service. In the server side, QoS parameters- delay, jitter and service unavailability were introduced for an experiment. In the user end, QoE was examined by doing experiment with different mobiles. In this test, 18 different conditions were experienced by the user who marked their QoE. This experiment was designed to collect data from the user to examine the user QoE and network level QoS. The results show that without server end Apache QoS module the service might be unavailable in high delay and jitter. However, with the Apache QoS module the service is available in high delay and jitter even though it takes longer time to respond. For better QoE, the delay and jitter should be as low as possible. Moreover, better QoE is experienced in better mobile design. Good mobile receiver and resolution make the QoE higher. Lower quality mobile design cannot ensure good service even though the network level QoS is good.
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Cushnie, John. "QoS charging for Internet access networks : the wireless QoS gateway." Thesis, Lancaster University, 2003. http://eprints.lancs.ac.uk/12300/.

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WANG, XIAODONG. "QoS ISSUES AND QoS CONSTRAINED DESIGN OF WIRELESS SENSOR NETWORKS." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1144634884.

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Jonsson, Björn. "Bluetooth QoS Scheduler." Thesis, KTH, Mikroelektronik och Informationsteknik, IMIT, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-93114.

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Bluetooth is a low cost, short-range radio technology that enables electronic devices to communicate wirelessly via ad-hoc networks. Different kinds of applications may run over these networks, some of these applications with particular Quality of Service (QoS) requirements. One such application could for instance be an Audio application which need data frames to be delivered at regular interval to work properly. The communication over Bluetooth links is totally controlled by one of the participating nodes. Since this node controls the traffic and thereby controls the QoS within the network its communicating behaviour is of great importance for maintaining QoS reservations. A central part in maintaining QoS reservations is the scheduler, which prioritises between different tasks to be done such as which device that is allowed to transmit next. There is no standardised way to implement the Bluetooth scheduler. However, a Bluetooth scheduler should be able to handle QoS reservations, maintain fairness among the participating nodes, and utilise the available bandwidth efficiently. Furthermore a key requirement in Bluetooth is simplicity, therefore a Bluetooth scheduling algorithm should be of low complexity. This master thesis presents a new patented solution for an intra-piconet scheduling algorithm that is capable of maintaining QoS reservation, while being fair and also meet the low complexity requirement. This algorithm is presented in detail in the thesis and has been implemented in an ns2- based Bluetooth simulator. Simulations in this simulator are presented that verifies the scheduling algorithms functionality.
Bluetooth är en standard för trådlös ad-hoc kommunikation. Denna standard definierar i antalet noder begränsade nätverk (piconet) som kan kopplas samman till större nätverk (scatternet). Många olika typer av applikationer kan tänkas använda dessa nätverk, vissa av dessa med speciella krav på Quality of Service (QoS). Ett exempel så en dylik applikation är ljudöverföringar som kräver att data överförs med jämna mellanrum för att kunna fungera tillfredställande. Kommunikationen över ett Bluetooth-piconet kontrolleras helt av en av de deltagande enheterna. Eftersom denna enhet kontrollerar trafiken kontrollerar den också upprätthållandet av QoS reservationerna. En central del i detta upprätthållande är schemaläggaren, som är den del i en Bluetoothenhet som prioriterar mellan olika saker som ska utföras. Ett exempel på en sådan prioritering kan vara vilken enhet i nätverket som ska få kommunicera härnäst. Bluetooth standarden beskriver inte hur denna schemaläggare ska implementeras. Grundläggande krav på en Bluetooth schemaläggare är att den ska kunna hantera och upprätthålla QoS reservationer samtidigt som den delar den befintliga kapaciteten på ett rättvist och effektivt sätt mellan de deltagande enheterna. Vidare bör den ha en låg komplexitet eftersom enkelhet är ett krav på alla delar i ett Bluetoothsystem. Detta examensarbete presenterar en ny patenterad algoritm för schemaläggning i begränsade Bluetoothnät som är kapabel att upprätthålla QoS-reservationer, samtidigt som den distribuerar den tillgängliga kapaciteten på ett rättvist sätt. Algoritmen möter också upp till kravet på låg komplexitet. Rapporten innehåller vidare simuleringar av algoritmens funktion, dessa har utförts i en ns2-baserad Bluetooth miljö och verifierar algoritmens funktionalitet.
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Lahdenperä, J. (Juho). "QoS 4G-verkoissa." Bachelor's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201711153110.

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Tutkielma on kirjallisuuskatsaus, jossa perehdytään nykyään käytettäviin Quality of Service (QoS) ratkaisuihin 4G-verkoissa. QoS on tärkeä niin käyttäjän, kuin palvelun tarjoajan näkökulmasta. QoS:n avulla varmistetaan kullekin verkon käyttäjälle riittävä palvelun taso. QoS:n tarkastelua tarvitaan myös erilaisten järjestelmien suunnittelussa, että ymmärretään mitä järjestelmältä vaaditaan. 4G-verkon QoS parametrit on standardisoitu ja laitteiden QoS-mekanismit ovat globaaleilla televiestintämarkkinoilla tärkeä kilpailutekijä
This thesis is a literature review, that orients to the concept of modern day Quality of Service solutions in 4G-networks. QoS is important from the users’ as well as the service provider’s point of view. QoS provides a level of service for each network user and it is also required in system design to know what is required from the system. QoS parameters of 4G network are standardized and the QoS mechanisms are an important competitive factor in the global telecommunications market
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Ickin, Selim. "Quality of Experience on Smartphones : Network, Application, and Energy Perspectives." Doctoral thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00615.

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Smartphones have become crucial enablers for users to exploit online services such as learning, leisure, communicating, and socializing. The user-perceived quality of applications and services is an important factor to consider, in order to achieve lean resource management, to prevent user churn and revenue depletion of service or network providers. This is often studied within the scope of Quality of Experience (QoE), which has attracted researchers both in academia and industry. The objective of this thesis is to study the most important factors influencing QoE on smartphones and synthesize solutions for intervention. The temporal impairments during a real-time energy-hungry video streaming are studied. The aim is to quantify the influence of temporal impairments on the user-perceived video QoE at the network and application level together with energy measurements, and also to propose solutions to reduce smartphone energy consumption without degrading the user’s QoE on the smartphone for both user-interactive, e.g., video, and non-interactive cases. QoE measurements on smartphones are performed throughout in-the-wild user studies. A set of quantitative Quality of Experience (QoE) assessment tools are implemented and deployed for automatic data logging at the network- and application-level. Online momentary survey, Experience Sampling Method (ESM) software, and Day Reconstruction Method (DRM) along weekly face-to-face user interviews are employed. The subjective QoE is obtained through qualitative feedback including Mean Opinion Score (MOS) as well as in-situ indications of poor experiences by users. Additionally, energy measurements on smartphones are conducted in controlled-lab environment with the Monsoon device. The QoE of smartphone applications and services perceived by users depends on many factors including anomalies in the network, application, and also the energy consumption. At the network-level, high packet delay variation causes long video freezes that eventually impact negatively the end-user perceived quality. The freezes can be quantified as large time gaps in-between the displayed pictures during a video stream at the application-level. We show that the inter-picture time in cellular-based video stream can be represented via two-state exponential ON/OFF models. We show models representing the non-linear relationship between the QoE and the mean inter-picture time. It is shown that energy measurements help to reveal the temporal impairments in video stream enabling energy consumption as a QoE indicator. Next, energy waste and saving during temporal impairments are identified. Additionally, other video streaming use cases, e.g., “download first and watch later”, are studied and appropriate energy-saving download scheduling mechanisms are recommended. The possibility for decreasing energy consumption when the smartphone screen is OFF, while maintaining QoE, is revealed. We first show exponential models to represent user’s interaction with smartphone, then propose a NyxEnergySaver software, to control the cellular network interface in a personalized manner to save smartphone energy. According to our findings, more than 30% smartphone energy can be saved without impacting the user-perceived QoE.
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Senol, Sinan. "Qoc And Qos Bargaining For Message Scheduling In Networked Control Systems." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614396/index.pdf.

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Networked Control Systems (NCS) are distributed control systems where the sensor signals to the controllers and the control data to the actuators are enclosed in messages and sent over a communication network. On the one hand, the design of an NCS requires ensuring the stability of the control system and achieving system response that is as close as possible to that of an ideal system which demands network resources. On the other hand, these resources are limited and have to be allocated efficiently to accommodate for future system extensions as well as applications other than control purpose. Furthermore the NCS design parameters for the control system messages and the message transmission over the network are interdependent. In this thesis, we propose &ldquo
Integrated NCS Design (INtERCEDE: Integrated NEtwoRked Control systEm DEsign)&rdquo
a novel algorithmic approach for the design of NCS which ensures the stability of the control system, brings system response to that of an ideal system v as close as desired and conserves network bandwidth at the same time. The core of INtERCEDE is a bargaining game approach which iteratively calculates the message parameters and network service parameters. Our experimental results demonstrate the operation of INtERCEDE and how it computes the optimal design parameters for the example NCS.
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Books on the topic "QoS"

1

Stiller, Burkhard, Michael Smirnow, Martin Karsten, and Peter Reichl, eds. From QoS Provisioning to QoS Charging. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45859-x.

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Soldani, David, Man Li, and Renaud Cuny, eds. QoS and QoE Management in UMTS Cellular Systems. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/9780470034057.

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David, Soldani, Li Man, and Cuny Renaud, eds. QoS and QoE management in UMTS cellular systems. Chichester: John Wiley and Sons, 2006.

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Barreiros, Miguel, and Peter Lundqvist. QOS-Enabled Networks. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470976814.

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Barreiros, Miguel, and Peter Lundqvist. QOS-Enabled Networks. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119109136.

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Marchese, Mario. QoS Over Heterogeneous Networks. Chichester, UK: John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/9780470058763.

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Park, Kun Il. QOS in packet networks. New York: Springer, 2005.

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Marchese, Mario. QoS over heterogeneous networks. Chichester: John Wiley & Sons, 2007.

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Jiang, Chunxiao, and Peiying Zhang. QoS-Aware Virtual Network Embedding. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5221-9.

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Zheng, Zibin, and Michael R. Lyu. QoS Management of Web Services. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34207-3.

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Book chapters on the topic "QoS"

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Soldani, David, Davide Chiavelli, Jaana Laiho, Man Li, Noman Muhammad, Giovanni Giambiasi, and Carolina Rodriquez. "QoE and QoS Monitoring." In QoS and QoE Management in UMTS Cellular Systems, 315–84. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/9780470034057.ch9.

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Deiß, Thomas, Jouko Kapanen, Esa Metsälä, and Csaba Vulkán. "QoS." In Mobile Backhaul, 250–302. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119941019.ch8.

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Walrand, Jean, and Shyam Parekh. "QOS." In Communication Networks, 125–34. Cham: Springer International Publishing, 2010. http://dx.doi.org/10.1007/978-3-031-79986-0_10.

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Walrand, Jean, and Shyam Parekh. "QOS." In Communication Networks, 157–66. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-79281-6_10.

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Carthern, Chris, William Wilson, and Noel Rivera. "QoS." In Cisco Networks, 541–81. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6672-4_15.

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Soldani, David, Man Li, and Jaana Laiho. "QoS Provisioning." In QoS and QoE Management in UMTS Cellular Systems, 293–314. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/9780470034057.ch8.

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Janic, Milena, Fernando Kuipers, Xiaoming Zhou, and Piet Van Mieghem. "Implications for QoS Provisioning Based on Traceroute Measurements." In From QoS Provisioning to QoS Charging, 3–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45859-x_1.

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Ossipov, Evgueni, and Gunnar Karlsson. "SOS: Sender Oriented Signaling for a Simplified Guaranteed Service." In From QoS Provisioning to QoS Charging, 100–114. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45859-x_10.

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Bauer, Daniel, Sean Rooney, Paolo Scotton, Sonja Buchegger, and Ilias Iliadis. "The Performance of Measurement-Based Overlay Networks." In From QoS Provisioning to QoS Charging, 115–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45859-x_11.

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Quoitin, Bruno, Steve Uhlig, and Olivier Bonaventure. "Using Redistribution Communities for Interdomain Traffic Engineering." In From QoS Provisioning to QoS Charging, 125–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45859-x_12.

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Conference papers on the topic "QoS"

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Assis, Felipe, Mateus S. Nogueira, Daniel S. Menasché, João Ismael Pinheiro, Pavlos Sermpezis, Savvas Kastanakis, Thrasyvoulos Spyropoulos, and Carla Delgado. "Recomendação de Conteúdo e QoE: Um Experimento Quantificando o Papel da QoS nas Preferências por Vídeos." In XVIII Workshop em Desempenho de Sistemas Computacionais e de Comunicação. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/wperformance.2019.6463.

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Sistemas de recomendação estão cada vez mais presentes na rotina dos usuários da Internet. Portanto, plataformas como Youtube e Netflix procuram melhorar suas recomendações para fornecer uma melhor experiência aos seus usuários. No entanto, a experiência dos usuários depende de diversos fatores. Em particular, sistemas de cache têm uma grande influência na qualidade de experiência (QoE), visto que eles impactam métricas de qualidade de serviço (QoS), como atraso e vazão, experenciadas pelos usuários. Nosso objetivo é estudar a viabilidade de um sistema de recomendação sensível a QoS que maximize a QoE. Para tal, nós conduzimos experimentos com usuários reais com perfis distintos. Cada usuário é solicitado a avaliar diferentes vídeos, que variam em termos de conteúdo e de QoS. Dadas nossas descobertas quanto à relação entre QoS e QoR (quality of recommendation), investigamos seus impactos no modelo de sistema de recomendação. Um classificador baseado em árvore de decisão alcançou acurácia de 77% usando validação cruzada, e nos permite entender melhor o processo de tomada de decisão do usuário.
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Oliveira, Wallas F., Lucas S. Santos, Magnos Martinello, and Leobino N. Sampaio. "Aprovisionamento de QoS por Rótulos Programáveis para Redes Definidas por Resíduos." In Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/sbrc.2018.2471.

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Grande parte das atuais soluções adotadas no provimento de qualidade de serviço em redes é fortemente baseada no protocolo MPLS, que permite a associação de serviços de QoS para diferentes classes de tráfego. Apesar dos seus benefícios, tais soluções apresentam altos custos de OPEX e CAPEX. Redes Definidas por Resíduos (RDN) surgem na perspectiva de viabilizar soluções de baixo custo para o encaminhamento de pacotes baseado simplesmente em operações de resto da divisão (i.e., resíduo). Este trabalho apresenta um modelo para o aprovisionamento de QoS por rótulos programáveis para RDNs. O modelo foi implementado através da linguagem P4. Testes de emulação foram realizados avaliando métricas de QoS e QoE, demonstrando a viabilidade do modelo, mas principalmente ganho na programabilidade de garantias de QoS ajustadas sob demanda.
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De Souza, Ramon Hugo, and Mario Antonio Ribeiro Dantas. "Modelo de Recuperação Arquitetural QoE-QoS Híbrido para Bases de Dados Distribuídas Gerenciado por Middleware." In XVIII Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2017. http://dx.doi.org/10.5753/wscad.2017.249.

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O conceito de qualidade de experiência (QoE) não é uma novidade per se, mas sua definição em termos de métricas mapeáveis para qualidade de serviço (QoS), e em especial tal abordagem aplicada ao contexto de bases de dados distribuídas (BDDs), é um novo conceito. Novos trabalhos formalizando QoE como completude de QoS permitem se lidar com decisões diretamente relacionadas a correção de desempenho em nível de sistema, não mais considerando-se o conceito abstrato de QoE, usualmente ligado a satisfação de usuário com base em avaliações tácitas. Esta pesquisa tem como objetivo a demonstração do ganho temporal que pode ser obtido em considerações de replicação com gerenciamento via a abordagem de um middleware.
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Santos, Gustavo H. A., Gabriel Mendonça, Rosa M. M. Leão, and Edmundo de Souza e Silva. "Detecção de anomalias em redes baseada em medições de QoS e rótulos de QoE com ruído." In Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação, 2022. http://dx.doi.org/10.5753/sbrc.2022.221969.

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Detectar anomalias em redes é essencial para a manutenção de uma boa qualidade de serviço (QoS) e de experiência (QoE). No entanto, rótulos para o treinamento de modelos supervisionados são de difícil obtenção. Propomos um método para detectar anomalias baseado em um modelo estatístico que leva em consideração medições de QoS e rótulos de QoE com ruído para inferir a qualidade de uma rede de acesso residencial. Estimamos os parâmetros do modelo utilizando o algoritmo Expectation-Maximization (EM) e correlacionamos espacialmente os resultados para localizar áreas na rede com problemas de desempenho. Mostramos que o nosso modelo é eficaz utilizando um dataset real com medidas coletadas por 6369 roteadores residenciais durante 18 meses.
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Carvalho, Marcos, and Daniel F. Macedo. "Agendamento de Contêineres Ciente da QoE." In Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/sbrc_estendido.2022.222318.

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O provedor de nuvem compartilha seus recursos computacionais entre diferentes clientes, co-localizando as aplicações no mesmo servidor. No entanto, isso pode causar degradação nas aplicações. Além disso, os provedores de nuvem utilizam métricas de Qualidade de Serviço (QoS) como forma de medir a qualidade do serviço entregue aos seus clientes. Essas métricas são pré-estabelecidas e especificadas no Service Level Objective (SLO). Contudo, o SLO baseado em QoS é insuficiente para garantir aos usuários das aplicações uma boa Qualidade de Experiência (QoE). A dissertação lida com esse problema, propondo um agendador de contêiner ciente da QoE em um ambiente de nuvem onde as aplicações sofrem interferência causada pela co-localização. Propomos uma nova abordagem que utiliza métodos de aprendizado de máquina para estimar a QoE que a nuvem pode oferecer, considerando atributos da nuvem. Experimentos mostraram que o agendamento com reconhecimento da QoE pode melhorar a QoE dos usuários, assim como reduzir o uso de recursos.
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Agboma, Florence, and Antonio Liotta. "QoE-aware QoS management." In the 6th International Conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1497185.1497210.

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Solozabal, Ruben, Jose Oscar Fajardo, Bego Blanco, and Fidel Liberal. "Quality of Service (QoS) oriented management system in 5G cloud enabled RAN." In XIII Jornadas de Ingenieria Telematica - JITEL2017. Valencia: Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/jitel2017.2017.6587.

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This paper analyze techniques to implement QoS/QoE on multi-tenant 5G networks. Describes the ar- chitecture of the next generation mobile network based on cloud-enabled small cell deployments and also proposes an hybrid-cloud solution coexisting with centralized cloud RAN(C-RAN), in order to achieve a gradual implementation of the technology. In this context, the work here presented deals with the challenges of preserving the quality of ex- perience in a multi-tenant cloud enable RAN bearing in mind the Key Performance Indicator(KPI) agreed in the SLA. To achieve this goal, QoS should be managed at different levels of the architecture. Feedback should be given between learning modules in order to analyze the results and infer enhanced decision rules which may conclude in an architecture replacement.
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Silva, Felipe S. Dantas, Mathews Lima, Charles H. F. Santos, and Augusto Neto. "Avaliação de Algoritmos de Aprendizado de Máquina para Predição de QoE em Redes 6G." In Workshop de Redes 6G. Sociedade Brasileira de Computação, 2023. http://dx.doi.org/10.5753/w6g.2023.823.

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This paper evaluates the performance of Machine Learning (ML) algorithms to provide Quality of Experience (QoE) user decisions in multimedia services. A specialized dataset was built for mapping network Quality of Service (QoS) Key Performance Indicators (KPIs) with video quality metrics to perform QoE predictions. An evaluation is then carried out considering the main regression models to support the development of QoE-aware systems and meet the critical requirements of applications characteristic of 6G scenarios.
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Liu, Charles Z., and Manolya Kavakli. "Data-aware QoE-QoS management." In 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2016. http://dx.doi.org/10.1109/iciea.2016.7603882.

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Siokis, Apostolos, Kostas Ramantas, George Margetis, Stefania Stamou, Ryan McCloskey, Martin Tolan, and Christos Verikoukis. "5GMediaHUB QoS/QoE Monitoring Engine." In 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). IEEE, 2023. http://dx.doi.org/10.1109/camad59638.2023.10478397.

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Reports on the topic "QoS"

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Campbell, Andrew T., and Mischa Schwartz. Supporting QOS in Mobile Networks. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada411151.

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Apostolopoulos, G., S. Kama, D. Williams, R. Guerin, A. Orda, and T. Przygienda. QoS Routing Mechanisms and OSPF Extensions. RFC Editor, August 1999. http://dx.doi.org/10.17487/rfc2676.

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Huston, G. Next Steps for the IP QoS Architecture. RFC Editor, November 2000. http://dx.doi.org/10.17487/rfc2990.

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Snir, Y., Y. Ramberg, J. Strassner, R. Cohen, and B. Moore. Policy Quality of Service (QoS) Information Model. RFC Editor, November 2003. http://dx.doi.org/10.17487/rfc3644.

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Sweeney, John D., Roderic Grupen, and Prashant Shenoy. Active QoS Flow Maintenance in Controlled Mobile Networks. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada439279.

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Rao, N. S. V., and S. G. Batsell. QoS routing via multiple paths using bandwidth reservation. Office of Scientific and Technical Information (OSTI), January 1998. http://dx.doi.org/10.2172/631262.

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Ye, Nong. QOS and Control-Theoretic Techniques for Intrusion Tolerance. Fort Belvoir, VA: Defense Technical Information Center, April 2004. http://dx.doi.org/10.21236/ada423167.

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Crawley, E., R. Nair, B. Rajagopalan, and H. Sandick. A Framework for QoS-based Routing in the Internet. RFC Editor, August 1998. http://dx.doi.org/10.17487/rfc2386.

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Moore, B., D. Durham, J. Strassner, A. Westerinen, and W. Weiss. Information Model for Describing Network Device QoS Datapath Mechanisms. RFC Editor, January 2004. http://dx.doi.org/10.17487/rfc3670.

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Lee, Chen, John Lehoczky, Dan Siewiorek, Ragunathan Rajkumar, and Jeff Hansen. A Scalable Solution to the Multi-Resource QoS Problem. Fort Belvoir, VA: Defense Technical Information Center, May 1999. http://dx.doi.org/10.21236/ada367891.

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