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Journal articles on the topic 'QOS Parameters'

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Published: 4 June 2021

Last updated: 16 June 2025

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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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Ahamed, V. M. Niaz, and Sivaraman K. "Survey and Review on Various Topology and Geographical based Routing Protocol Parameters to Ensure the QOS Parameters of VANET." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10s (2023): 162–67. http://dx.doi.org/10.17762/ijritcc.v11i10s.7609.

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Vehicular Ad Hoc Network (VANET) is a type of wireless network that allows communication between vehicles and infrastructure. One of the critical considerations in VANET is Quality of Service (QoS) parameters, which determine the network's performance. The effective management of QoS parameters is essential for VANET's reliable and efficient operation. In this research paper, we aim to explore topology-based and geographical-based routing protocol parameters to ensure QoS parameters in VANET. The former uses the network topology to make routing decisions, while the latter uses the location information of vehicles. We will first provide an overview of VANET and QoS parameters. Then, we will delve into the key parameters of topology-based and geographical-based routing protocols and how they affect QoS. We will also survey and review the existing routing protocols and parameter values used in these protocols. The findings of this research paper will provide insights into the effective management of QoS parameters in VANET and contribute to the development of more efficient routing protocols.

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., Sampada D. Samudra. "QOS PARAMETERS FOR OBS NETWORK." International Journal of Research in Engineering and Technology 03, no. 11 (2014): 407–11. http://dx.doi.org/10.15623/ijret.2014.0311068.

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Kim, Hyun Jong, and Seong Gon Choi. "QoE assessment model for multimedia streaming services using QoS parameters." Multimedia Tools and Applications 72, no. 3 (2013): 2163–75. http://dx.doi.org/10.1007/s11042-013-1507-8.

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Schuller, Dieter, Ulrich Lampe, Julian Eckert, Ralf Steinmetz, and Stefan Schulte. "Optimizing Complex Service-Based Workflows for Stochastic QoS Parameters." International Journal of Web Services Research 10, no. 4 (2013): 1–38. http://dx.doi.org/10.4018/ijwsr.2013100101.

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The challenge of optimally selecting services from a set of functionally appropriate ones under Quality of Service (QoS) constraints – the Service Selection Problem – has been extensively addressed in the literature based on deterministic parameters. In practice, however, Quality of Service QoS parameters rather follow a stochastic distribution. In the work at hand, we present an integrated approach which addresses the Service Selection Problem for complex structured as well as unstructured workflows in conjunction with stochastic Quality of Service parameters. Accounting for penalty cost which accrue due to Quality of Service violations, we perform a worst-case analysis as opposed to an average-case analysis aiming at avoiding additional penalties. Although considering conservative computations, QoS violations due to stochastic QoS behavior still may occur resulting in potentially severe penalties. Our proposed approach reduces this impact of stochastic QoS behavior on total cost significantly.

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Ma, Xin Bing, and Xiao Feng Zhou. "Web Service QoS Matching Research Based on Ontology." Applied Mechanics and Materials 385-386 (August 2013): 1679–83. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1679.

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In this article,take into account QoS characteristics comprehensively and build a reliable QoS ontology model. Based on the model,Web service QoS matching will be divided into three stages.Firstly,make a estimation of semantic comparability between QoS parameters of candidate services meeting the functional requirements and the QoS parameters of requirements in QoSIndependent ontology,find candidate services meeting users needs; Then,according to the critical QoS parameters between adjacent services constraints to further refine the matching between the candidate services;Finally choose the maximum service QoS value meeting the user requests in specific areas. So as to improve the efficiency and accuracy of service matching.

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Liang, Kai Jian, Lin Feng Bai, and Xi Long Qu. "Expectation Value Calculation of Grid QoS Parameters Based on Algorithm Prim." Applied Mechanics and Materials 34-35 (October 2010): 2016–20. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.2016.

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From the perspective of selecting service by QoS attributes, a computation method of QoS expectation value, which is based on Algorithm Prim, was presented to provide support for selection of service. On the basis of the ability of service providers, by Algorithm Prim, this method succeded in calculating a set of balanced expectation values of QoS. Selection of service based on these QoS values would be beneficial to optimization of system resources and protection of the users of those services. An example with analysis has been provided to demonstrate the feasibility and effectiveness of the method.

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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 (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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Rosario, Sidney, Albert Benveniste, and Claude Jard. "Flexible Probabilistic QoS Management of Orchestrations." International Journal of Web Services Research 7, no. 2 (2010): 21–42. http://dx.doi.org/10.4018/jwsr.2010040102.

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In this paper, the authors develop a comprehensive framework for QoS management based on soft probabilistic contracts. The authors approach also encompasses general QoS parameters, with “response time” as a particular case. In addition, the authors support composite QoS parameters, for example, combining timing aspects with “quality of data” or security level. They also study contract composition (how to derive QoS contracts for an orchestration from the QoS contracts with its called services), and contract monitoring.

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Ampririt, Phudit, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, and Leonard Barolli. "Application of Fuzzy Logic for Slice QoS in 5G Networks." International Journal of Mobile Computing and Multimedia Communications 12, no. 2 (2021): 18–35. http://dx.doi.org/10.4018/ijmcmc.2021040102.

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The fifth generation (5G) network is expected to be flexible to satisfy quality of service (QoS) requirements, and the software-defined network (SDN) with network slicing will be a good approach for admission control. In this paper, the authors present and compare two fuzzy-based schemes to evaluate the QoS (FSQoS). They call these schemes FSQoS1 and FSQoS2. The FSQoS1 considers three parameters: slice throughput (ST), slice delay (SD), and slice loss (SL). In FSQoS2, they consider as an additional parameter the slice reliability (SR). So, FSQoS2 has four input parameters. They carried out simulations for evaluating the performance of the proposed schemes. From simulation results, they conclude that the considered parameters have different effects on the QoS performance. The FSQoS2 is more complex than FSQoS1, but it has a better performance for evaluating QoS. When ST and SR are increasing, the QoS parameter is increased. But, when SD and SL are increasing, the QoS is decreased. When ST is 0.1, SD is 0.1, SL is 0.1, and the QoS is increased by 32.02% when SR is increased from 0.3 to 0.8.

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Chen, Fu Gui. "QoS Parameters of Grid Services and Service Matchmaking." Applied Mechanics and Materials 34-35 (October 2010): 1343–46. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.1343.

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The standard sample space and the nonstandard sample space which is separately composed by standard sample and the nonstandard sample are called general sample space. QoS parameters of grid services and service matchmaking are discussed. On the basis of the ability of service providers, by Algorithm Prim, this method succeeds in calculating a set of balanced expectation values of QoS. its application on the development of intelligent controller was discussed.

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Li, Ying, Wei Qin Tong, Xiao Li Zhi, and D. Ding. "Dynamic Service Selection Based on Ant Colony System." Applied Mechanics and Materials 182-183 (June 2012): 2136–41. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.2136.

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In this paper,ant colony system(ACS)is applied to the dynamic service selection.We design the novel pheromone update rule and the path length between the service node is generated by the QoS parameters of the services. The optimal path in ACS is correspond to a set of optimal QoS parameters composition of services. When the QoS parameters of services are changed, the parameters of ACS will be changed automatically during the process of finding the shortest path. That will improve the reliability of the service selection.

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Al-Ani, Aymen Dawood, and Jochen Seitz. "QoS-aware Routing in Multi-rate Ad hoc Networks Based on Ant Colony Optimization." Network Protocols and Algorithms 7, no. 4 (2016): 1. http://dx.doi.org/10.5296/npa.v7i4.8513.

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QoS-aware routing in mobile ad hoc networks (MANETs) is a major challenge due to node mobility and scarcity of resources. QoS-aware routing based on ant colony optimization (ACO) algorithms is a promising approach to overcome these problems. However, as compared to MANETs, vehicular ad hoc networks (VANETs) face additional challenges due to rapid topology change, making the estimation or prediction of QoS parameters difficult or stale. VANETs require time-critical message delivery, as late delivery may result in endangering lives. Currently existing routing protocols usually require the exchange of additional control message between neighbor nodes to compute QoS parameters. This makes the routing protocol too slow to react to fast topology change and also does not consider network congestion when forwarding a data packet. To reduce the overhead introduced to collect information from neighbor nodes and to obtain an accurate estimate of QoS parameters, we use the simple network management protocol to estimate these values locally. This paper describes a new approach for calculating QoS parameter locally and avoiding congestion during data transmission. The simulations are implemented using the network simulator ns-3, and the results show that our approach is scalable and performs well in high mobility. QoS-aware routing in mobile ad hoc networks (MANETs) is a major challenge due to node mobility and scarcity of resources. QoS-aware routing based on ant colony optimization (ACO) algorithms is a promising approach to overcome these problems. However, as compared to MANETs, vehicular ad hoc networks (VANETs) face additional challenges due to rapid topology change, making the estimation or prediction of QoS parameters difficult or stale. VANETs require time-critical message delivery, as late delivery may result in endangering lives. Currently existing routing protocols usually require the exchange of additional control message between neighbor nodes to compute QoS parameters. This makes the routing protocol too slow to react to fast topology change and also does not consider network congestion when forwarding a data packet. To reduce the overhead introduced to collect information from neighbor nodes and to obtain an accurate estimate of QoS parameters, we use the simple network management protocol to estimate these values locally. This paper describes a new approach for calculating QoS parameter locally and avoiding congestion during data transmission. The simulations are implemented using the network simulator ns-3, and the results show that our approach is scalable and performs well in high mobility.

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Saxena, Aditya, Jyoti Singhai, and Deepak Raghuvanshi. "Optimization of quality of service parameters for efficient channel allocation." International Journal of Engineering & Technology 7, no. 3 (2018): 1220. http://dx.doi.org/10.14419/ijet.v7i3.13370.

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The bandwidth-intensive network applications with aggressive quality of service (QoS) requirements requires fast and efficient networks. The wireless network performance is impacted due to multitude of data transport at uneven transmission rates on various channels and line losses leading to congestion. It is a big challenge to achieve the required QoS by managing delay, jitter, bandwidth and packet loss parame-ters on a network. This paper highlights the major causes affecting QoS and proposes an optimization technique which allocates the channel dynamically by integrating all the parameters affecting QoS across network layer, medium access control (MAC) layer and physical layer. The proposed algorithm utilizes the feedback parameters namely queueing delay, packet priority and timeout, MAC layer contention delay and packet loss ratio as inputs and a closed loop processing control for the scheduler based on fuzzy logic control (FLC). Hence, the algo-rithm is more realistic and considers the line conditions. The simulation results show that the proposed algorithm is faster and utilizes the overall network more efficiently.

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Lozano-Rizk, Jose Eleno, Raul Rivera-Rodriguez, Juan Iván Nieto-Hipólito, Salvador Villarreal-Reyes, Alejandro Galaviz-Mosqueda, and Mabel Vazquez-Briseno. "Quality of Service in Software Defined Networks for Scientific Applications: Opportunities and Challenges." Proceedings of the Institute for System Programming of the RAS 33, no. 1 (2021): 111–22. http://dx.doi.org/10.15514/ispras-2021-33(1)-8.

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Scientific applications require to process, analyze and transfer large volumes of data in the shortest possible time from distributed data sources. In order to improve their performance, it is necessary to provide them with specific QoS parameters. On the other hand, SDN is presented as a new paradigm of communications networks that facilitates the management of the communications infrastructure and consequently allows to dynamically incorporate QoS parameters to the applications running in this type of network. With both these paradigms in mind, we conducted this research to answer the following questions: Do scientific applications that are running in an SDN-Enabled distributed data centers improve their performance? Do they consider network QoS parameters for job scheduling? The methodology used was to consult articles in specialized databases containing the keywords SDN and for scientific applications: HPC and Big Data. Then, we analyzed the articles where these keywords intersect with some of the parameters related to QoS in communications networks. Also, we reviewed QoS proposals in SDN to identify the advances in this research area. The results of this paper are: i) QoS is an open issue to incorporate in scientific applications that are running in an SDN ii) we identified the challenges to join both these paradigms, and iii) we present a strategy to provide QoS to scientific applications that are being executed among SDN-Enabled distributed data centers.

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Truong, Thu-Huong, Nguyen Huu Thanh, and Nguyen Tai Hung. "Pragmatic Correlations of Quality-of-Experience and Quality-of-Service in IMS-Based IPTV Network." International Journal of Distributed Systems and Technologies 4, no. 1 (2013): 29–42. http://dx.doi.org/10.4018/jdst.2013010103.

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To let the service system react quickly on customers’ perception or user experience while using the service, mapping functions between Quality of Experience (QoE) and Quality of Service (QoS) are strongly required in purpose of building up an intelligent QoE control system upon adjusting QoS parameters. This article studies the changing behavior of QoE with respect to changes of QoS parameters in the context of video streaming service in an IP Multimedia Subsystem-based IP Television network (IMS-based IPTV network). The article is, in fact, an extended version of the paper published by the same authors (Thu-Huong Truong, 2012). In (Thu-Huong Truong, 2012), the authors studied QoE in both terms of Mean Opinion Scores and VQM as functions of each single QoS parameter such as: loss, jitter, and delay. In this extended content, the correlation between QoE and multiple QoS parameters will be introduced. The QoE-QoS correlation could be a significant first step to build a smart QoE monitoring and control mechanism as an added value to promote the IMS-based IPTV network.

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Wagdarikar, Rohitkumar Rudrappa, and Sandhya P. "Parallelism in web services: design of parallel XML parser for web services." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 3 (2019): 1407. http://dx.doi.org/10.11591/ijeecs.v16.i3.pp1407-1415.

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<p>A WS provides the communication between heterogeneous systems. While performing this operation, we need to focus on QoS of consumer, provider and registry directory. There will be some parameters like WS selection, prediction and rank these are parameters need to consider while QoS implementation in web services. While performing integration in web services we need to focus on QoS requirements regarding server and network performance. Performance of WS is related to locations i.e the network distance and the Internet connections between consumer and provider. There will be more QoS approach which works on consumers collected QoS data, based on this data system can predict the QoS of WS. Throughput and response time are the QoS of WS. In this paper, we have proposed parallel XML parser, by which we can parse UDDI, WSDL and SOAP XML files parallel by which it will improve the response time and throughput of WS.</p>

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Cé Júnior, José, Achilles C. Prudêncio, Roberto Willrich, and Madalena P. da Silva. "A semantic approach for QoS specification of communication services using QoE parameters." Journal of the Brazilian Computer Society 19, no. 3 (2012): 207–21. http://dx.doi.org/10.1007/s13173-012-0094-2.

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Li, Yuan Chen, and Guo Fang Kuang. "A Multicast Routing Algorithm with Cost, Delay and Bandwidth Constraints." Advanced Materials Research 756-759 (September 2013): 1850–54. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1850.

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Quality of service (QoS) generally assumes more than one QoS measure which implies that routing can be categorized as an instance of routing subject to multiple constraints: such as cost, delay, bandwidth, etc. The problem of constructing multicast trees is studied to meet the QoS requirements where it is necessary to provide bounded constraints among the source and all destinations while keeping the cost of the multicast tree low. So, a kind of source-destination QoS multicast routing problem is addressed about communication networks. The algorithm we presented takes bandwidth, delay and loss rate as premise, constructs routing selected function based on shortest path, modifies selected path according to the function above so as to fit multi-QoS parameters. Simulation results show that the algorithm has both lower delay and better performance and can be extended to cases of multiple QoS parameters conveniently.

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Kusbandono, Hendrik, Tri Lestariningsih, and MH Ramdhani Ismar. "Analysis of First In First Out (FIFO) Bandwidth Packet Queuing Technique with Random Early Detection (RED) on WLAN (Wireless LAN)." East Asian Journal of Multidisciplinary Research 2, no. 8 (2023): 3335–44. http://dx.doi.org/10.55927/eajmr.v2i8.5670.

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Implementation of bandwidth usage is generally only optimally utilized by some WLAN network users; this is often influenced by the monopoly use of bandwidth capacity for both download and upload. The aim is to determine the optimal packet queuing technique based on QoS parameters in WLAN network implementation. This research method uses QoS FIFO and RED packet queuing techniques with throughput, delay, jitter, and packet loss parameters on WLAN networks. Quality of Service (QoS) results on queuing methods using FIFO parameters (throughput 79.65%, delay 73.43 ms, jitter 82.21 ms, and packet loss 3.39%) RED technique throughput parameters: 79.29% delay (75.35 ms), jitter (71.45 ms), and packet loss (7.17%). QoS, compared to FIFO and RED queuing techniques, both perform well in maintaining the quality of network services. The FIFO queuing technique has an average index value of 3.5 with "Satisfactory" degradation, while the RED queuing technique has an average index value of 3.75 with the same degradation. Although the difference in average index values is not very significant, the RED queuing method provides slightly better results in terms of QoS.

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Chun, Sang Hun. "QoS Management Using Variations of RED Parameters." Journal of the Institute of Electronics Engineers of Korea 49, no. 11 (2012): 205–10. http://dx.doi.org/10.5573/ieek.2012.49.11.205.

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Lorenz, D. H., and A. Orda. "QoS routing in networks with uncertain parameters." IEEE/ACM Transactions on Networking 6, no. 6 (1998): 768–78. http://dx.doi.org/10.1109/90.748088.

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Strelkovskaya, Irina, and Roman Zolotukhin. "RESEARCH OF LOW-BANDWIDTH RADIONETWORKS QOS PARAMETERS." Information and Telecommunication Sciences, no. 1 (June 28, 2020): 77–81. http://dx.doi.org/10.20535/2411-2976.12020.77-81.

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Silvia, Rotua Clara, Kiara Syahrani Sofia, and Ahmad Adriansyah. "ANALISIS PENGUJIAN QUALITY OF SERVICE PROVIDER 4G LTE PADA SMARTPHONE ANDROID DI TEKNIK ELEKTRO POLITEKNIK NEGERI SRIWIJAYA." JURNAL TELISKA 17, no. 2 (2024): 7–14. https://doi.org/10.5281/zenodo.10878572.

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This research aims to measure and compare the Quality of Service (QoS) from 4G LTE providers for Android smartphone users in Building V of the Sriwijaya State Polytechnic. The research method used is a quantitative method by taking samples at three different times, namely morning, afternoon and evening. The QoS parameters tested are bandwidth, signal, delay, packet loss, and throughput. The research results show that Telkomsel has the highest QoS for bandwidth, signal, delay and packet loss parameters, while XL has the highest QoS for throughput parameters. From the research results, it can be concluded that Telkomsel is superior in download speed with an average of 21.8 Mbps and is also superior in upload speed with an average of 10.6 Mbps. XL is in second place for these two parameters with an average of 12.2 Mbps for downloads and 8.53 Mbps for uploads. Overall, the tests carried out met the TIPHON standards for speed, delay and packet loss parameters.

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Tomer, U., and P. Gandhi. "An Enhanced Software Framework for Improving QoS in IoT." Engineering, Technology & Applied Science Research 12, no. 5 (2022): 9172–77. http://dx.doi.org/10.48084/etasr.5095.

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Internet of Things (IoT) and Artificial Intelligence (AI) with its subcomponents are the latest emerging technologies that make our daily lives easier. Quality of Service (QoS) plays a very important role in IoT due to the large number of interconnected nodes. QoS is inversely dependent on the node count, i.e. the increment of nodes causes hampering to QoS, as increasing the number of nodes increases the number of requests to the IoT server. An enhanced framework is strongly needed to control QoS in IoT applications. This study proposes and implements an enhanced framework using Matlab, to control the number of requests. The proposed model can improve QoS parameters like throughput, latency, and packet loss by reducing the number of requests generated by the end nodes without compromising the services to the end user. The results showed that QoS parameters improved in terms of throughput by 5-10%, packet loss by up to 6%, and packet latency by 4%. This model can also be tested in hardware and may provide a better QoS solution.

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Liu, Li, Yun Fei Li, Miao Zhang, and Song Tao Liu. "QoS Oriented PSO Algorithm for Cloud Service Composition Modeling." Applied Mechanics and Materials 577 (July 2014): 931–34. http://dx.doi.org/10.4028/www.scientific.net/amm.577.931.

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How to select different independent cloud service to compose an optimization service to satisfy user’s QoS requirement is a challenge problem. A QoS oriented particle swarm optimization algorithm is proposed in this paper, which considers multiple QoS parameters in the process of service composition.

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Novi Ari Saputro. "Manajemen Bandwidth Melalui IP Filter Mikroktik HAP Lite Di FT Uniska." Jurnal JEETech 3, no. 1 (2022): 1–9. http://dx.doi.org/10.48056/jeetech.v3i1.181.

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Bandwidth management for clients connected to the internet network is needed in the upload and download process. In this study used additional devices in the form of a mikrotik router and research sites at the Faculty of Engineering UNISKA, Kediri. The study discusses Quality of Service (QoS) with 4 indicators, namely throughput, packet loss, delay, and jitter. The results showed that the speedtest application bandwidth did not exceed the specified limit. And in the wireshark application, it is shown that the calculation of QoS throughput for each user is not more than 100 Kbps, then the standard parameters according to TIPHON are categorized as "BAD" with an index of "0". In the QoS packet loss, each user gets a value of 0, then the standard parameters according to TIPHON are categorized as "PERFECT" with the index "4". In the QoS delay, each user gets a value less than 100 s, then the standard parameters according to TIPHON are categorized as "PERFECT" with the index "4". And on the QoS jitter of each user, the value is below the number 1, then the standard parameters according to TIPHON are categorized as "GOOD" with an index of "3".

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Novi Ari Saputro. "Manajemen Bandwidth Melalui IP Filter Mikroktik Hap Lite di FT UNISKA." Jurnal JEETech 2, no. 2 (2021): 54–59. http://dx.doi.org/10.48056/jeetech.v2i2.178.

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Sirisala, Nageswara Rao, and Raswitha Bandi. "Fuzzy Logic Aware QoS Multicasting in MANETs with Load Balance." International Journal of Engineering & Technology 7, no. 4.6 (2018): 269. http://dx.doi.org/10.14419/ijet.v7i4.6.20488.

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Mobile ad-hoc network (MANET) is a decentralized and infrastructure less network where a nodes can communicate with other nodes within the access region. Due to mobility node can enter and leave a network at any moment. Due to unstable nature of MANETs, the provision of Quality of Service (QoS) to the applications is a difficult task. In this paper, fuzzy logic enabled QoS multicast routing is proposed. Here energy, bandwidth and link expiry time are considered as a QoS parameters. The existing methods lost their performance in handling multi constrained QoS protocols, since defining the dynamic priorities among the multiple QoS parameters is not a trivial task. In the proposed method “Fuzzy Logic Aware QoS Multicasting in MANETs with Load Balance-FQML”, this issue is overcome by using fuzzy logic. The Competency Factor of each intermediate node along the route is calculated by aggregating it’s QoS parameters using fuzzy inference system. In the classical multicast protocols, some of the nodes in the multicast tree are overloaded by having multiple branches towards the destination nodes. This leads to partition of the multicast tree and degrades the performance of protocols. In the proposed method, this problem is handled by limiting the number of branches at intermediate nodes. The results are taken in network simulator-ns2, where the proposed method could measure less number of path failures and improved results than existing methods.

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Varvarigou, Theodora, Konstantinos Tserpes, Dimosthenis Kyriazis, Fabrizio Silvestri, and Nikolaos Psimogiannos. "A Study on the Effect of Application and Resource Characteristics on the QoS in Service Provisioning Environments." International Journal of Distributed Systems and Technologies 1, no. 1 (2010): 55–75. http://dx.doi.org/10.4018/jdst.2010090804.

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This article deals with the problem of quality provisioning in business service-oriented environments, examining the resource selection process as an initial matching of the provided to the demanded QoS. It investigates how the application and resource characteristics affect the provided level of QoS, a relationship that intuitively exists but has not yet being mapped. To do so, it focuses on identifying the application and resource parameters that affect the customer-defined QoS parameters. The article realistically centres upon modeling a data mining application and simple PC nodes in order to study how they affect response times. It moves on, by proving the existence of these specific relations and maps them using simple artificial neural networks so as to be able to wrap them in a single mechanism for resource selection based on customer QoS requirements and real time provider QoS capabilities.

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Khafidin, Ahmad, Tatyantoro Andrasto, and Suryono Suryono. "Implementation flow control to improve quality of service on computer networks." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 3 (2019): 1474. http://dx.doi.org/10.11591/ijeecs.v16.i3.pp1474-1481.

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<p>Quality of Service (QoS) is the collective effect of service performances, which determine the degree of satisfaction of a user of the service. In addition, QoS defined as the ability of a network to provide good service. QoS aims to provide different quality of services for various needs in the IP network. QoS parameters that can be used to analyze the data communication services are jitter, packet loss, throughput, and delay. The quality of QoS parameters in the network is affected by congestion. Congestion occurs because there is an excessive queue in the network. Congestion can be prevented by implementing flow control on network. Flow control is a method to control the data packet flow in a network. By controlling of the data packet flow, it can improve of QoS. This study intends to find out value of QoS on the internet network at Faculty Engineering, State University of Semarang by measuring network performance using QoS parameters. Then, in this research will be implemented the token bucket method as a flow control mechanism at the network to improve the QoS. After research and data analysis, internet network at Faculty Engineering State University of Semarang has QoS value was 3,5 with 87,5 % of percentage and classified in satisfying of category. When measuring the network performance, there are decreases of performance at access point that having data rates 150 Mbps with many users connected. It has 9,0 ms of delay value, 0.046 ms of jitter, 16,6% of packet loss and, 1293407 bps of throughput. After token bucket was applied as flow control mechanism that be simulated on Graphical Network Simulator 3, the internet network has QoS values 3,75 with 93,75 % of percentage and classified as “satisfying” category. Furthermore, the percentage of the throughput value obtained on network by implementing flow control is 62%, while on the existing network is 41%.</p>

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Mahamure, Sandesh, Poonam N. Railkar, and Parikshit N. Mahalle. "Mathematical Representation of Quality of Service (QoS) Parameters for Internet of Things (IoT)." International Journal of Rough Sets and Data Analysis 4, no. 3 (2017): 96–107. http://dx.doi.org/10.4018/ijrsda.2017070107.

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Now we are in the era of ubiquitous computing. Internet of things (IoT) is getting matured in various parts of the world. In coming few years' billions and trillions of things will be connected to the internet. To deal with these huge number of devices in a network we need to consider Quality of Service (QoS)parameters so that system operations can be performed in a smoother way. Mathematical modelling of these QoS parameters gives an idea about which factors are needs to consider while designing any IoT-enabled system at the same time it will give the performance analysis of the system before implementation. In this paper comprehensive literature survey is done to discuss various issues related to QoS and gap analysis is also done for IoT Enabled systems. This paper proposes general steps to build a mathematical model for a system. It also proposes the mathematical model for QoS parameters like reliability, communication complexities, latency and aggregation of data for IoT. To support proposed mathematical model proof of concept also given.

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A. Al-Sbou, Yazeed. "Wireless Networks Performance Monitoring Based on Passive-active Quality of Service Measurements." International journal of Computer Networks & Communications 12, no. 6 (2020): 15–32. http://dx.doi.org/10.5121/ijcnc.2020.12602.

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Monitoring of the performance of wireless network is of vital importance for both users and the service provider which should be accurate, simple and fast enough to reflect the network performance in a timely manner. The aim of this paper is to develop an approach which can infer the performance of wireless ad hoc networks based on Quality of service (QoS) parameters assessment. The developed method considers the QoS requirements of multimedia applications transmitted over these kind of networks. This approach is based on the ideas of combination of both active and passive measurement methods. This approach uses an in-service measurement method in which the QoS parameters of the actual application (user) are estimated by means of dedicated monitoring packets (probes). Afterwards, these parameters are combined to produce and assess the application’s overall QoS using the fuzzy logic assessment and based on the measured QoS parameters estimated using the probe traffic. The active scheme is used to generate monitoring probe packets which are inserted between blocks of target application packets at regular intervals. While the passive monitoring is utilized to act as a traffic meter which performs as a counter of user packets (and bytes) that belong to the application (user) traffic flow that is subjected to monitoring. After simulating the developed technique, it offered a good estimation for the delay, throughput, packet losses and the overall QoS when using different probe rates.

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Farid, Farnaz, Seyed Shahrestani, and Chun Ruan. "A Metric-Based Approach for Quality Evaluation in Distributed Networking Systems." International Journal of Interactive Communication Systems and Technologies 9, no. 1 (2019): 48–76. http://dx.doi.org/10.4018/ijicst.2019010104.

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The distributed networking system is a dominant paradigm in the industry. In today's network industry, security and Quality of service (QoS) are two key services. The distributed network deals with an entire range of parameters coming from different applications. Therefore, it is of great significance to determine a set of key parameters and draw meaningful evaluation outcomes. On the other hand, security mechanisms provide user identification, authentication, consistency and information protection over the distributed environment. This research presents some analyses which draw connections between QoS and security of distributed networks. Then, a metric-based quantifying methodology is presented which quantifies network quality using QoS and security metrics. The QoS quantifying method is then further elaborated. The efficiency of this method is investigated using a range of simulation studies. The simulation analysis and results indicate that the proposed approach facilitates better QoS management and monitoring of the distributed networking systems.

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Grewal, Sanjiv Kumar, and Neeraj Mangla. "EETSQ: Energy Efficient Task Scheduling based on QoS Parameters in Cloud Computing Environment." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 5s (2023): 440–45. http://dx.doi.org/10.17762/ijritcc.v11i5s.7096.

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Now a day, energy consumption is the big challenge in heterogeneous cloud computing environment that needs to be considered. Cloud service provider also needs to satisfy customer’s Quality of Service (QoS) for better utilization. An energy efficient task scheduling based on QoS parameter has been proposed to address above said challenge. Firsty, all the incoming tasks are categorized into four classes based on some special attributes and prioritize according to importance of the classes. Secondly, Physical Machines (PMs) type confirmation list is selected based on the number of resource blocks and then select one PM that has maximum QoS value. All the Virtual Machines (VMs) on selected PM are prioritized according to their weight. Experimental evaluation done on CloudSim shows the effectiveness and efficiency of proposed approach.

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Bavio, José, and Beatriz Marrón. "Optimal capacity and buffer size estimation under generalized Markov Fluids models and QoS parameters." International Journal of Modeling, Simulation, and Scientific Computing 05, supp01 (2014): 1441002. http://dx.doi.org/10.1142/s1793962314410025.

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Quality of service (QoS) for internet traffic management requires good traffic models and good estimation of sharing network resource. A link of a network processes all traffic and it is designed with certain capacity C and buffer size B. A Generalized Markov Fluid model (GMFM), introduced by Marrón (2012), is assumed for the sources because it describes in a versatile way the traffic, allows estimation based on traffic traces, and also consistent effective bandwidth (EB) estimation can be done. QoS, interpreted as buffer overflow probability, can be estimated for GMFM through the EB estimation and solving the optimization problem presented in Courcoubetis and Siris [ Perform. Eval. 48:5–23, 2002], the so-called inf-sup formulas. In this work, we implement a code to solve the inf-sup problem and other optimization related with it, that allow us to do traffic engineering in links of data networks to calculate both, minimum capacity required when QoS and buffer size are given or minimum buffer size required when QoS and capacity are given.

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Sunitha R. and Chandrika J. "Malevolent Node Detection Based on Network Parameters Mining in Wireless Sensor Networks." International Journal of Digital Crime and Forensics 13, no. 5 (2021): 130–44. http://dx.doi.org/10.4018/ijdcf.20210901.oa8.

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The exponential growth of the internet of things and united applications have renewed the scholarly world to grow progressively proficient routing strategies. Quality of service (QoS) and reduced power consumption are the major requirements for effective data transmission. The larger part of the applications nowadays including internet of things (IoT) communication request power effective and QoS-driven WSN configuration. In this paper, an exceptionally strong and effective evolutionary computing allied WSN routing convention is designed for QoS and power effectiveness. The proposed routing convention includes proficient capacity called network condition-based malicious node detection. It adventures or mines the dynamic node/network parameters to recognize malignant nodes. Experimentation is done using network simulator tool NS2. Results ensure that the proposed routing model accomplishes higher throughput, low energy utilization, and low delay that sustains its suitability for real-time WSN.

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Radonjic-Djogatovic, Vesna, Marko Djogatovic, and Milorad Stanojevic. "Simulation analysis of quality of business in IP networks." Yugoslav Journal of Operations Research 29, no. 4 (2019): 507–18. http://dx.doi.org/10.2298/yjor180815035r.

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In this paper, we propose a simulation model for mapping Quality of Service (QoS) parameters to Quality of Business (QoBiz) in IP networks. We assume that Internet Service Provider (ISP) offers tariff packages based on the proposed QoS to QoBiz mapping and users? requirements. Available bit rate and security are chosen as the key QoS parameters, and price is selected as a main QoBiz parameter from users? perspective, while revenue singles out as the main QoBiz parameter from ISP?s perspective. We also assume that ISP applies hybrid pricing so that price reduction is performed depending on QoS violation, defined through network load. The simulation model is conducted using agent-based simulation methodology. Agents can be seen as autonomous units that mutually interact in the environment. In this research, users and ISP are observed as simulation agents and IP market is seen as the environment. Output parameters in the simulation analysis are ISP?s revenue and service price. The proposed model enables direct reflection of QoS violation on service prices and consequently on ISP?s revenue. Simulation results show prices decrease for most of the tariff packages.

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Alemany, Pol, Antón Román, Ricard Vilalta, et al. "A KPI-Enabled NFV MANO Architecture for Network Slicing with QoS." IEEE Communications Magazine 59, no. 7 (2021): 44–50. https://doi.org/10.1109/MCOM.001.2001077.

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Communication systems are used not only by voice or file exchange applications, but also by other types of applications due to the coexistence of multiple and different verticals. Each vertical has its own requirements in terms of key performance indicators (KPIs) for their applications. Mapping the verticals KPIs into network quality of service (QoS) parameters and enforcing it at the network level is a complex procedure. Network slicing allows the deployment of multiple virtual networks (one per vertical) to work in parallel with their specific QoS based on the KPIs. This article presents and experimentally validates a KPI-enabled network function virtualization (NFV) management and orchestration (MANO) architecture able to manage network slices, to monitor the vertical KPI requirements and react in case they are not met. We address this objective from a holistic perspective, defining the network QoS parameters that enable meeting vertical KPIs along all levels of the NFV MANO architecture: the NSs using the 5G QoS Identifier parameter, the NFV network services using service level agreements, and the networking and computing services with QoS parameters. Finally, the described architecture is validated through an experimental use case based on a vertical realtime communications application.

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A. S. Lafta, Sameer, Mohaned Mahdi Abdulkareem, Raed Khalid Ibrahim, Marwah M. Kareem, and Adnan Hussein Ali. "Quality of service performances of video and voice transmission in universal mobile telecommunications system network based on OPNET." Bulletin of Electrical Engineering and Informatics 10, no. 6 (2021): 3202–10. http://dx.doi.org/10.11591/eei.v10i6.3139.

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The universal mobile telecommunications system (UMTS) has distinct benefits in that it supports a wide range of quality of service (QoS) criteria that users require in order to fulfill their requirements. The transmission of video and audio in real-time applications places a high demand on the cellular network, therefore QoS is a major problem in these applications. The ability to provide QoS in the UMTS backbone network necessitates an active QoS mechanism in order to maintain the necessary level of convenience on UMTS networks. For UMTS networks, investigation models for end-to-end QoS, total transmitted and received data, packet loss, and throughput providing techniques are run and assessed and the simulation results are examined. According to the results, appropriate QoS adaption allows for specific voice and video transmission. Finally, by analyzing existing QoS parameters, the QoS performance of 4G/UMTS networks may be improved.

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Sameer, A. S. Lafta, Mahdi Abdulkareem Mohaned, Khalid Ibrahim Raed, M. Kareem Marwah, and Hussein Ali Adnan. "Quality of service performances of video and voice transmission in universal mobile telecommunications system network based on OPNET." Bulletin of Electrical Engineering and Informatics 10, no. 6 (2021): 3202–10. https://doi.org/10.11591/eei.v10i6.3139.

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Silaban, Rico Kurniawan, Leonardus Sandy Ade Putra, and Neilcy Tjahjamooniarsih. "COMPARISON OF QUALITY OF SERVICE PARAMETERS FOR FOUR CELLULAR NETWORK PROVIDERS IN PUNGGUR KECIL VILLAGE." Telecommunications, Computers, and Electricals Engineering Journal 1, no. 3 (2024): 241. http://dx.doi.org/10.26418/telectrical.v1i3.73430.

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This research aims to analyze Quality of Service (QoS) parameters on cellular networks using four providers by measuring throughput, packet loss, delay and jitter parameters when conducting Video Streaming and Online Games using the Wireshark application. The research method involves direct measurement of QoS parameters in several strategic locations in Punggur Kecil village, data was taken at three different location points with a distance comparison of ±500 meters. From all the recapitulations of QoS parameter measurement results, it can be concluded that the value of each QoS parameter can vary for each package which includes the categories poor, medium, good and very good because the bandwidth received by each provider is different. The cause of high and low values of different QoS parameters, Throughput is caused by the number of packet arrivals measured during the observation process, Packet Loss is caused by the number of queues exceeding capacity, Delay is caused by low Throughput values and the number of packets sent, while the Jitter value is influenced by the Delay value. The results obtained are that the Indosat provider is the recommended provider when carrying out Video Streaming and Online Games, because the Quality of Service value produced is superior to other providers. The average values of the Throughput, Packet Loss, Delay and Jitter parameters at each location for the Indosat provider are respectively 796kbps, 2.63%, 22.6ms and 22.6ms. Provider XL is 708kbps, 1.67%, 12.6ms, and 12.6ms. Provider Telkomsel 667kbps, 0.33%. 55.9ms, and 56ms. As well as the Smartfren provider 50kbps, 0.38%, 102.6ms, and 102.7ms.

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Soni, S., and J. S. Shah. "QoS frameworks for Multimedia Traffic in Mobile Adhoc Networks: A Comparative Review." Engineering, Technology & Applied Science Research 7, no. 3 (2017): 1708–12. http://dx.doi.org/10.48084/etasr.1131.

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MANETs (Mobile Adhoc Networks) has gained an increased interest by the research community. Regular intelligent exchanges of multimedia will be typical in MANET, though the extended motivation on QoS (Quality of Service). However, various properties of the discussed QoS framework are provisioned for QoS as a challenging concern. Providing QoS provisioning is, to a great degree, challenging in MANETs in view of bouncing correspondences, center point movability and nonattendance of central coordination. Thus, most of the research has focused on giving QoS guarantees in MANETs coordinating traditions. Though huge numbers of QoS coordinating procedures have been proposed in composing, focusing on different QoS estimations yet none of the prescribed or discussed frameworks achieves a universal course of action. There exist several genuine necessary research areas of focus such as QoS metric assurance and cost limit layout, source level scheduling framework and QoS coordinating. In this paper, working and connecting of various QoS frameworks for MANETs is investigated throughout several veritable focus areas of research. After a comparative review, it is concluded that there is still a good scope of research for proposing a QoS framework for MANETs which could have cross-layer advantages, resource reservation, connection admission control, multi-constrained QoS parameters, hard QoS assurance, proactive routing advantages etc.

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Antonenko, Alexander S., and Andrey N. Zemtsov. "EVALUATION OF QOS PARAMETERS FOR IPTV UNINTERRUPTED OPERATION." T-Comm 14, no. 10 (2020): 33–38. http://dx.doi.org/10.36724/2072-8735-2020-14-10-33-38.

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This article describes the IPTV system, as well as its implementation methods and related protocols. The concept of IPTV includes both real-time television and recording television, the so-called VoD. In real time, streaming data is sent using only the RTP protocol and in addition to it, the RTSP protocol is used for streaming VoD. In addition, methods for measuring QoS parameters are analyzed, considering practical applications for estimating IPTV traffic parameters. An important feature of providing quality IPTV services is a high level of quality of service. Also, in theory, an Internet connection model with insufficient network bandwidth is considered. The following characteristics are taken into account: bandwidth, one-way delay, inter-packet jitter, the number of lost packets, the number of duplicated packets, packets with errors, and damaged packets. A reordering issue is mentioned. In addition, two important QoS parameters for VoD are measured: START delay and PAUSE / RESUME delays. Service messaging is considered while providing IPTV service. The maximum, average, and minimum values for the network quality of service parameters are found.

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KOYAMA, AKIO, LEONARD BAROLLI, GENCI CAPI, BERNADY O. APDUHAN, JUNPEI ARAI, and ARJAN DURRESI. "AN EFFICIENT MULTI-PURPOSE OPTIMIZATION METHOD FOR QOS ROUTING USING GENETIC ALGORITHM." Journal of Interconnection Networks 05, no. 04 (2004): 409–28. http://dx.doi.org/10.1142/s0219265904001246.

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In order to support multimedia communication, it is necessary to develop routing algorithms that make decisions based on multiple Quality of Service (QoS) parameters. This is because new services such as video on demand and remote meeting systems have multiple QoS requirements. However, the problem of QoS routing is difficult because finding a feasible route with two independent path constraints is NP-complete problem. Also, QoS routing algorithms for broadband networks must be adaptive, flexible, and intelligent for efficient network management. In this paper, we propose a multi-purpose optimization method for QoS routing based on Genetic Algorithm (GA). The simulation results show that the proposed method has a good performance and therefore is a promising method for QoS routing.

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Vambe, William Tichaona, Chii Chang, and Khulumani Sibanda. "A Review of Quality of Service in Fog Computing for the Internet of Things." International Journal of Fog Computing 3, no. 1 (2020): 22–40. http://dx.doi.org/10.4018/ijfc.2020010102.

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With the advent of the paradigm of the Internet of Things, many computing elements need many modifications to promote Quality of Service (QoS). Quality of Service is a pillar that promotes real-time reaction to time-critical tasks. Any impediments to QoS should be resolved and handled. In 2012, fog computing was implemented to enhance QoS in current systems in a bid to tackle QoS problems encountered by using cloud computing alone. Currently, the primary focus in fog computing is now on enhancing QoS. The primary goal of this study is, therefore, to critically review and evaluate the literature on the work done to improve elements of QoS in fog computing. This study begins by examining the roots of history, characteristics, and advantages of fog computing. Secondly, it discusses the important elements of QoS parameters. Finally, open problems that still affect fog computing are identified and discussed in order to achieve enhanced QoS.

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Daramola, Oladunni Abosede. "QUALITY OF SERVICE ISSUES IN WIRELESS VOICE OVER INTERNET PROTOCOL." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 10 (2017): 57. http://dx.doi.org/10.23956/ijarcsse.v7i10.386.

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Voice over Internet Protocol (VoIP) is a significant application of the converged network principle where the voice traffic is routed over Internet Protocol shared traffic networks. VoIP traffic was modelled over wireless network and a simulation of the traffic was transmitted over the network. E-model technique was used to analyze the traffic data and also to rate VoIP QoS parameters. The result achieved was mapped to the Mean Opinion Scale to determine the Quality of Service of VoIP over wireless networks. The results shows that QoS in the VoIP communications is significantly impacted by these parameters and the impact varies according to the parameters and also the communication aspects selected for the VoIP traffic analysis.Keywords: VoIP, QoS, E-Model and Mean Opinion Scale

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Sheikh, Anjum, Asha Ambhaikar, and Sunil Kumar. "The Analysis of QoS parameters for IoT networks." Open Journal of Science and Technology 4, no. 1 (2021): 40–50. http://dx.doi.org/10.31580/ojst.v4i1.1725.

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A large amount of data is transferred by the IoT devices over the network. The successful transmission of data from the source nodes to the destination nodes depends on the reliability of the network. In the absence of good networks the IoT technology will not be able to work properly as the failure in transfer of data would result in the malfunctioning of the applications. The Quality of Services (QoS) parameters of the network helps in knowing the capability of the networks in transferring data. These parameters would help the service providers to improve the shortcomings in the network and provide better service to its users. End to end delay, packet delivery ratio, energy consumption, jitter, routing over load and throughput are some of the parameters discussed in this paper. The parameters have been calculated by the different types of network and the variation of these parameters with the change in the size of network have been studied.

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Yang, Shin-Jer, and Hung-Cheng Chou. "Adaptive QoS parameters approach to modeling Internet performance." International Journal of Network Management 13, no. 1 (2003): 69–82. http://dx.doi.org/10.1002/nem.460.

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