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Journal articles on the topic 'Qualité de Service (QoS)'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

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 (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 c

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Shargabi, Bassam Al, Osama Al-haj Hassan, Alia Sabri, and Asim El Sheikh. "Quality-of-Service Based Web Service Composition and Execution Framework." International Journal of Information Technology and Web Engineering 6, no. 3 (2011): 57–74. http://dx.doi.org/10.4018/jitwe.2011070104.

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Software is gradually becoming more built by composing web services to support enterprise applications integration; thus, making the process of composing web services a significant topic. The Quality of Service (QoS) in web service composition plays a crucial role. As such, it is important to guarantee, monitor, and enforce QoS and ability to handle failures during execution. Therefore, an urgent need exists for a dynamic Web Service Composition and Execution (WSCE) framework based on QoS constraints. A WSCE broker is designed to maintain the following function: intelligent web service selecti

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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 t

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Rahman, Wan Nurhayati Wan Ab, and Farid Meziane. "A Generic QoS Model for Web." International Journal of Information Technology and Web Engineering 6, no. 3 (2011): 15–38. http://dx.doi.org/10.4018/jitwe.2011070102.

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The development, registration, discovery, and invocation of quality Web services are vital for the successful implementation of applications using Web services. Considerable research focuses on quality for Web services. Unfortunately, current research on Quality of Service (QoS) for Web services is concentrated on service users and the implementation stage. This research highlights the importance of incorporating QoS at the design and development stages; the authors propose the introduction of QoS at the same time as functional requirements. However, Web Service Description Language (WSDL) des

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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 (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-Co

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Yong, Yang, Dumas Marlon, García-Bañuelos Luciano, Polyvyanyy Artem, and Zhang Liang. "Generalized aggregate Quality of Service computation for composite services." Journal of Systems and Software 85, no. 8 (2012): 1818–30. https://doi.org/10.1016/j.jss.2012.03.005.

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This article addresses the problem of estimating the Quality of Service (QoS) of a composite service given the QoS of the services participating in the composition. Previous solutions to this problem impose restrictions on the topology of the orchestration models, limiting their applicability to well-structured orchestration models for example. This article lifts these restrictions by proposing a method for aggregate QoS computation that deals with more general types of unstructured orchestration models. The applicability and scalability of the proposed method are validated using a collection

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Park, Eun-Chan, Bongkyo Moon, In-Hwan Kim, and Gu-Min Jeong. "Quality of Service Control for WLAN-based Converged Personal Network Service." International Journal of Computers Communications & Control 6, no. 4 (2011): 713. http://dx.doi.org/10.15837/ijccc.2011.4.2097.

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This paper proposes a framework for quality of service (QoS) control in WLAN-based converged personal network service (CPNS). First, we show that the CPNS devices in WLANs occupy the shared wireless channel in an unfair manner; and thus, QoS is degraded. The reasons of such problem are analyzed from two viewpoints of (i) channel access mechanism according to carrier sensing multiple access protocol of WLAN and (ii) TCP congestion control mechanism in response to packet loss. To improve QoS and assure fair channel sharing, we propose an integrated QoS control framework consisting of admission c

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Cai, Meng, Ying Cui, Yang Yu, Ying Xue, and Han Luo. "Trusted QoS Assurance Approach for Composite Service." Security and Communication Networks 2021 (May 17, 2021): 1–15. http://dx.doi.org/10.1155/2021/9934138.

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The characteristics of service computing environment, such as service loose coupling, resource heterogeneity, and protocol independence, propose higher demand for the trustworthiness of service computing systems. Trust provisioning for composite services has become a hot research spot worldwide. In this paper, quality of service (QoS) planning techniques are introduced into service composition-oriented QoS provisioning architecture. By QoS planning, the overall QoS requirement of the composite service is decomposed into separate QoS requirement for every constituent atom service, the QoS level

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Albalas, F. W., B. A. Abu-Alhaija, A. Awajan, A. Awajan, and Khalid Al-Begain. "Quality of Service for Multimedia and Real-Time Services." International Journal of Information Technology and Web Engineering 5, no. 4 (2010): 1–22. http://dx.doi.org/10.4018/jitwe.2010100101.

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New web technologies have encouraged the deployment of various network applications that are rich with multimedia and real-time services. These services demand stringent requirements are defined through Quality of Service (QoS) parameters such as delay, jitter, loss, etc. To guarantee the delivery of these services QoS routing algorithms that deal with multiple metrics are needed. Unfortunately, QoS routing with multiple metrics is considered an NP-complete problem that cannot be solved by a simple algorithm. This paper proposes three source based QoS routing algorithms that find the optimal p

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Daaji, Marwa, Ali Ouni, Mohamed Mohsen Gammoudi, Salah Bouktif, and Mohamed Wiem Mkaouer. "Multi-criteria Web Services Selection: Balancing the Quality of Design and Quality of Service." ACM Transactions on Internet Technology 22, no. 1 (2022): 1–31. http://dx.doi.org/10.1145/3446388.

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Web service composition allows developers to create applications via reusing available services that are interoperable to each other. The process of selecting relevant Web services for a composite service satisfying the developer requirements is commonly acknowledged to be hard and challenging, especially with the exponentially increasing number of available Web services on the Internet. The majority of existing approaches on Web Services Selection are merely based on the Quality of Service (QoS) as a basic criterion to guide the selection process. However, existing approaches tend to ignore t

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Feng, Shan Qiang, Chun Chao Hu, Kai Ma, Xiao Yue Zhang, Wen Qing Lan, and Hu Chen. "Implementation and Application of QoS in Power Ethernet Switch." Advanced Materials Research 1044-1045 (October 2014): 338–43. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.338.

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Smart grid based on Ethernet technology is the development direction of power transmission network, power Ethernet carried different data communication service, which have different needs for network transmission time delay and bandwidth guarantee, which is reflected in the quality of service of network QoS (Quality of Service) requirements, in power Ethernet, QoS which can provided differentiated services (Diff-Serv) is essential. This paper outlines QoS implementation, QoS feature and related technologies in the power Ethernet switch, and analyses the flow characteristics of digital substati

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Siddik, Mohd. "ANALISIS QUALITY OF SERVICE JARINGAN LOCAL AREA NETWORK MENGGUNAKAN MIKROTIK ROUTERBOARD750 (Studi Kasus: STMIK Royal Kisaran)." JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 5, no. 2 (2019): 113–18. http://dx.doi.org/10.33330/jurteksi.v5i2.354.

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Abstract: The use of computer networks at this time has proven to be a very reliable means of communication and source of information. Government agencies, offices are now using the network as a medium for disseminating information. At present, in the implementation of computer networks, it is very necessary for management to optimize the network itself. Therefore it is necessary to do QoS (Quality of Service) Analysis, in order to get optimal network. QoS (Quality of Service) is a technology that can be applied in computer networks to provide optimal services for network users. With the exist

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Ageal, Mosbah. "Proposal Architecture For Quality of Service Provisioning Within Inter-domain IP Multimedia Subsystem Context." مجلة الجامعة الأسمرية: العلوم التطبيقية 1, no. 1 (2016): 52–40. http://dx.doi.org/10.59743/aujas.v1i1.1567.

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The Third Generation Partnership Project (3GPP) has adapted the Internet-Protocol Multimedia Subsystem (IMS) as a service delivery platform for the Next Generation Networks (NGN). IMS offers multimedia services over Internet Protocol (IP) based infrastructure. These services require a mechanism to manage Quality-of-Service (QoS). The current 3GPP QoS standards are based on Policy Based QoS Management architecture which provisions QoS in a single IMS domain, but users may be located in different IMS domains, or roaming between deferent IMS domains. This raise issues regarding management of QoS

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Suvorova, Elena, Yuriy Sheynin, and Nadezhda Matveeva. "Quality of Service in Embedded Networks." International Journal of Embedded and Real-Time Communication Systems 5, no. 4 (2014): 77–98. http://dx.doi.org/10.4018/ijertcs.2014100104.

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Embedded systems are widely used in many fields, from space industry to medicine. In this paper we consider Quality of Service (QoS) in embedded networks. Different QoS are analyzed. The authors consider three structures and implementations of the network layer for providing QoS, compare their implementation characteristics and evaluate hardware costs. They consider QoS mechanisms support in modern space network protocols, possibility of using them in embedded networks. Hardware costs are one of the main constraints for embedded networks. Therefore hardware costs of basic routers with these Qo

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Fan, Xuemei. "Mobile Internet of Things Dynamic Grid QoS Service Matching Mechanism and Simulation Analysis." Complexity 2021 (June 11, 2021): 1–11. http://dx.doi.org/10.1155/2021/2884700.

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With the development of the mobile Internet of Things, people have higher and higher requirements for services, and how to provide high-quality services that meet the needs of users has also become a hot issue of current research. This article is also in the context of the mobile Internet of Things, researching the solution to the service matching problem. In order to provide high-quality grid services, the grid system needs the support of quality of service (QoS). Based on the existing QoS matching strategy, a service matching strategy based on dynamic grid QoS is proposed. This paper combine

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Kang, Guosheng, Bowen Liang, Junhua Xu, Jianxun Liu, Yiping Wen, and Yun Kang. "QoS-Centric Diversified Web Service Recommendation Based on Personalized Determinantal Point Process." Electronics 12, no. 12 (2023): 2575. http://dx.doi.org/10.3390/electronics12122575.

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With the popularity and widespread adoption of the SOA (Service-Oriented Architecture), the number of Web services has increased exponentially. Users tend to use online services for their daily business and software development needs. With the large number of Web service candidates, recommending desirable Web services that meet users’ personalized QoS (Quality of Service) requirements becomes a challenging research issue, as the QoS preference is usually difficult to satisfy for users, i.e., the QoS preference is uncertain. To solve this problem, some recent works have aimed to recommend QoS-d

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17

Enriquez, Juan Gabriel, and Sandra Isabel Casas. "QoS (Quality of Service) and QoE (Quality of Experience) Study for Web Services Consumed from a Mobile Mashup." Ingeniería y Desarrollo 39, no. 1 (2021): 175–89. http://dx.doi.org/10.14482/inde.39.1.620.004.

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El objetivo de este trabajo consiste en el estudio de la QoS y la QoE de APIs de servicios web consumidos por aplicaciones mashup móvil. El estudio se enfoca en recolectar y analizar indicadores de QoS y de QoE. La metodología usada para el desarrollo de este trabajo es experimental, se ha realizado una experiencia que permitió recolectar los datos del estudio. Para tal fin, se desarrolló un mashup móvil que consume tres APIs REST y una librería que permite recolectar indicadores de QoS y de QoE. El estudio se realizó durante 60 días y se recolectaron 1.012 valores de indicadores. Los resultad

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Li, Shun, Junhao Wen, and Xibin Wang. "From Reputation Perspective: A Hybrid Matrix Factorization for QoS Prediction in Location-Aware Mobile Service Recommendation System." Mobile Information Systems 2019 (January 2, 2019): 1–12. http://dx.doi.org/10.1155/2019/8950508.

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With the great development of mobile services, the Quality of Services (QoS) becomes an essential factor to meet end users’ personalized requirement on the nonfunctional performance of mobile services. However, most of the QoS values in real cases are unattainable because a service user would only invoke some specific mobile services. Therefore, how to predict the missing QoS values and recommend high-quality services to end users becomes a significant challenge in mobile service recommendation research. Previous QoS prediction researches demonstrate that the nonfunctional performance of mobil

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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 whic

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KHALED, J.K, and M. ZULKIFLEE. "QUALITY OF SERVICE (QOS) IN CAMPUS NETWORK: COMPREHENSIVE SURVEY." Seybold Report V16, no. 11 (2021): 38–50. https://doi.org/10.5281/zenodo.6553709.

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<strong>ABSTRACT</strong>  Currently many aspects of the classical architecture of the Internet are extensively well-known, which has led to major obstacles in internet services. At present, there exist many reasons to extend the Internet including providing end-to-end connectivity for users, allowing Quality of Service (QoS) management of network resources for new applications, such as data center, cloud computing, and network virtualization. Defining those parameters  and causes which affect on internet services especially the QoS and developing significant ant techniques to solve

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Stojanovic, Mirjana, and Vladanka Acimovic-Raspopovic. "A novel approach for providing quality of service in multi service IP networks." Facta universitatis - series: Electronics and Energetics 17, no. 2 (2004): 261–74. http://dx.doi.org/10.2298/fuee0402261s.

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Considering specific operational and corporate service requirements, this article proposes an approach for providing quality of service (QoS) in multi service networks based on the IP (Internet Protocol) technology. The basic elements of the proposed approach encompass DiffServ - aware QoS architecture, proposal for traffic classification, proposal for configuration of the data plane QoS implementation mechanisms, as well as the model of QoS control and management. Particularly, the proposed approach is applicable to private networks with specific operational and corporate needs (power utiliti

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Liu, Yue Hua. "Applied Technology in the Grid Workflow Quality of Service Calculation and Estimation." Advanced Materials Research 859 (December 2013): 531–36. http://dx.doi.org/10.4028/www.scientific.net/amr.859.531.

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For the grid workflow system include a large of candidate services, the activity scheduling in workflow’s ex-ecution base on quality of service (QoS) constraints can pro-vide optimal service for users. This paper established the QoS’s parameter system with applied technology of grid workflow, and introduced the each parameter’s calculation model of activity’s QoS, the grid work-flow’s QoS estimation method based on the basic flow control structures defined by the abstract grid workflow language (AGWL). The experimental results show that the calculation method in this paper can estimate stably

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Chen, Hanhua, and Hai Jin. "Efficiently Compositing and Optimizing the Quality of Heterogeneous Services." International Journal of Web Services Research 11, no. 3 (2014): 76–95. http://dx.doi.org/10.4018/ijwsr.2014070104.

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The emerging service-oriented computing bring various services together to a ‘market' for clients to request, enabling the integration of services across the distributed, heterogeneous, and wide area networks. By encapsulating diverse implementations of physical and software resources in the interface that standardizes the functions, loosely coupled services have show great potential to support a versatile integration platform for complex applications. Existing techniques can successfully support integrating services from different providers to provide applications with more complex user requi

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Yuan, Yuan, Weishi Zhang, Xiuguo Zhang, and Huawei Zhai. "Dynamic Service Selection Based on Adaptive Global QoS Constraints Decomposition." Symmetry 11, no. 3 (2019): 403. http://dx.doi.org/10.3390/sym11030403.

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As there are more and more available Web services with the same or similar functionalities but different Quality of Service (QoS), the challenge of QoS-aware service composition is to efficiently select appropriate component services to achieve maximum utility and meet the global QoS constraints with low time cost. In this paper, we propose a dynamic service selection approach based on adaptive global QoS constraints decomposition. Fuzzy logic technology and Cultural Genetic Algorithm are used to adaptively decompose global QoS constraints into near-optimal local constraints. According to the

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Guidara, Ikbel, Nawal Guermouche, Tarak Chaari, Mohamed Jmaiel, and Said Tazi. "Time-Dependent QoS Aware Best Service Combination Selection." International Journal of Web Services Research 12, no. 2 (2015): 1–25. http://dx.doi.org/10.4018/ijwsr.2015040101.

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Service Oriented Architecture allows developing complex business applications from existing services. Given that many services are available with the same functionality and with different Quality of Service (QoS) attributes, one common challenge is to select the best service combination regarding user's requirements. Existing solutions often consider static QoS values for candidate services. Nevertheless, in real world applications, QoS values can change during time. In addition, besides structural constraints, several QoS and temporal constraints can also be specified at the business level. C

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Frnda, Jaroslav, Jan Nedoma, Jan Vanus, and Radek Martinek. "A Hybrid QoS-QoE Estimation System for IPTV Service." Electronics 8, no. 5 (2019): 585. http://dx.doi.org/10.3390/electronics8050585.

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The internet protocol television service (IPTV) has become a key product for internet service providers (ISP), offering several benefits to both ISP and end-users. Because packet networks based on internet protocol have not been prepared for time-sensitive services, such as voice or video, packet networks have had to adopt several mechanisms to secure minimal transmission standards in the form of data stream prioritization. There are two commonly used approaches for video quality assessment. The first approach needs an original source for comparison (full-reference objective metrics), and the

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Wu, Qingtao, Mingchuan Zhang, Ruijuan Zheng, Ying Lou, and Wangyang Wei. "A QoS-Satisfied Prediction Model for Cloud-Service Composition Based on a Hidden Markov Model." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/387083.

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Various significant issues in cloud computing, such as service provision, service matching, and service assessment, have attracted researchers’ attention recently. Quality of service (QoS) plays an increasingly important role in the provision of cloud-based services, by aiming for the seamless and dynamic integration of cloud-service components. In this paper, we focus on QoS-satisfied predictions about the composition of cloud-service components and present a QoS-satisfied prediction model based on a hidden Markov model. In providing a cloud-based service for a user, if the user’s QoS cannot

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Zhang, Haiteng, Zhiqing Shao, Hong Zheng, and Jie Zhai. "Web Service Reputation Evaluation Based on QoS Measurement." Scientific World Journal 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/373902.

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In the early service transactions, quality of service (QoS) information was published by service provider which was not always true and credible. For better verification the trust of the QoS information was provided by the Web service. In this paper, the factual QoS running data are collected by our WS-QoS measurement tool; based on these objectivity data, an algorithm compares the difference of the offered and measured quality data of the service and gives the similarity, and then a reputation evaluation method computes the reputation level of the Web service based on the similarity. The init

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Bakar, M. F. A., S. Norhisham, N. H. Z. Ibrahim A. Abudeyab, et al. "Evaluating the Quality of Service of Bus Performance in Johor Bahru." IOP Conference Series: Earth and Environmental Science 971, no. 1 (2022): 012016. http://dx.doi.org/10.1088/1755-1315/971/1/012016.

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Abstract The increase in living standard would also be a major factor for rapid urban development, which is caused by the increase in the daily traffic volume. Therefore, traffic congestion can occur daily, especially during peak hours in the morning and late afternoon to cover the huge number of people movement. Moreover, the quality of bus services should be assessed on operational aspects provided by urban operators. Therefore, this paper is to determine the quality of service (QOS) of bus performance in Johor Bahru, Johor. The study was conducted in April 2019. Service quality data were ta

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Merabet, Fatima Zohra, and Djamel Benmerzoug. "Web Service Selection Based on QoS Prediction for Clustering and Ranking Services Using Auto-Encoder and K-Means." International Journal of Systems and Service-Oriented Engineering 12, no. 1 (2022): 1–10. http://dx.doi.org/10.4018/ijssoe.315605.

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When selecting web services, users look for those that meet their requirements, primarily the overall functionality and non-functionality quality of service (QoS). In general, various service providers offer a large number of functionally similar services. That makes it very hard for users to find the best ones that satisfy their needs. Thus, service selection based on QoS has emerged as a challenging problem in service computing. So, the authors propose in this paper a web service selection method based on QoS prediction for clustering and ranking services using auto-encoder and k-means. Expe

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Ding, Fei, Tao Wen, Suju Ren, and Jianmin Bao. "Performance Analysis of a Clustering Model for QoS-Aware Service Recommendation." Electronics 9, no. 5 (2020): 740. http://dx.doi.org/10.3390/electronics9050740.

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The numbers of web services are growing rapidly in recent years. One of the most challenging issues in service computing is the personalized recommendation of Web services. Most of the current research recommends services based on Quality of Service (QoS)-aware data with few considerations of service-side factors, such as service functions. In this paper, a new QoS-aware Web service recommendation model based on user and service clustering (RMUSC) is proposed to gain an advance in recommended accuracy. Firstly, similar users are clustered together by a Top-N similarity algorithm through the us

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Cui, Li Qun, and Cui Cui Li. "QoS-Based Extensible Selection Framework for Web Service." Advanced Materials Research 433-440 (January 2012): 1762–65. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.1762.

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With the rapid development of Web services technology, more and more Web services emerged in the network. Service consumer attached importance to the functional properties of services, also more and more emphasis on non-functional properties, namely Quality of Service. The Ultimate goal is meet consumer the demand of QoS. Therefore, service providers paid more and more attention to quality of services to meets the needs of users. This takes into account the options to meet the functional requirements and the QoS requirements, and designed a Web service selection framework. At the same time, Qo

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Chen, Zu Qin, and Ji Ke Ge. "QoS Prediction Approach for Web Service Recommendation." Applied Mechanics and Materials 20-23 (January 2010): 987–91. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.987.

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This paper proposes a QoS prediction approach used to recommend web service to solve the problem of choosing high quality web service. This approach bases on other users’ experience. According to the different feeling of different user to the same service, and the different similarity among the QoS of different services, the approach first divides the users and services into several modes, and then computes the means of one mode to predict the QoS of a service that the user never used before. Experiment simulation show that the approach is operable to some extent.

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Fu, Shun, Junnan Li, and Lufeng Wang. "RA-QoS: a robust autoencoder-based QoS predictor for highly accurate web service QoS prediction." PeerJ Computer Science 11 (June 2, 2025): e2928. https://doi.org/10.7717/peerj-cs.2928.

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Web services are fundamental for online service-oriented applications, where accurately predicting quality of service (QoS) is critical for recommending optimal services among multiple candidates. Since QoS data often contains noise—stemming from factors like remote user or service locations—current deep neural network (DNN)-based QoS predictors, which generally rely on L2-norm loss functions, face limitations in robustness due to sensitivity to outliers. To address this issue, we propose a novel robust autoencoder-based QoS predictor (RA-QoS) that leverages a hybrid loss function combining bi

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Xia, Hong, Qingyi Dong, Jiahao Zheng, Yanping Chen, Cong Gao, and Zhongmin Wang. "A QoS Prediction Approach Based on Truncated Nuclear Norm Low-Rank Tensor Completion." Sensors 22, no. 16 (2022): 6266. http://dx.doi.org/10.3390/s22166266.

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With the rise of mobile edge computing (MEC), mobile services with the same or similar functions are gradually increasing. Usually, Quality of Service (QoS) has become an indicator to measure high-quality services. In the real MEC service invocation environment, due to time and network instability factors, users’ QoS data feedback results are limited. Therefore, effectively predicting the Qos value to provide users with high-quality services has become a key issue. In this paper, we propose a truncated nuclear norm Low-rank Tensor Completion method for the QoS data prediction. This method repr

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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

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Kumar, Rakesh Ranjan, Abhinav Tomar, Mohammad Shameem, and Md Nasre Alam. "OPTCLOUD: An Optimal Cloud Service Selection Framework Using QoS Correlation Lens." Computational Intelligence and Neuroscience 2022 (May 25, 2022): 1–16. http://dx.doi.org/10.1155/2022/2019485.

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Cloud computing has grown as a computing paradigm in the last few years. Due to the explosive increase in the number of cloud services, QoS (quality of service) becomes an important factor in service filtering. Moreover, it becomes a nontrivial problem when comparing the functionality of cloud services with different performance metrics. Therefore, optimal cloud service selection is quite challenging and extremely important for users. In the existing approaches of cloud service selection, the user’s preferences are offered by the user in a quantitative form. With fuzziness and subjectivity, it

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Chen, Yanping, Lu Jiang, Jianke Zhang, and Xiaoxiao Dong. "A Robust Service Selection Method Based on Uncertain QoS." Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/9480769.

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Nowadays, the number of Web services on the Internet is quickly increasing. Meanwhile, different service providers offer numerous services with the similar functions. Quality of Service (QoS) has become an important factor used to select the most appropriate service for users. The most prominent QoS-based service selection models only take the certain attributes into account, which is an ideal assumption. In the real world, there are a large number of uncertain factors. In particular, at the runtime, QoS may become very poor or unacceptable. In order to solve the problem, a global service sele

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Made, Suartana I., and Prapanca Aditya. "Quality of Service Assurances in Multimedia Network: A Simulation Approach." MATEC Web of Conferences 197 (2018): 15010. http://dx.doi.org/10.1051/matecconf/201819715010.

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QoS is not a consideration at the beginning of the development of IP networks. However, as its growth and support more services including critical and real-time services, QoS support is indispensable. Multimedia applications require different QoS requirements from simple network applications. Multimedia services need more bandwidth, lossless delivery, and strict delay. IP networks treat all traffic, in the same way, this will be a problem for real-time traffic likes multimedia applications. This project uses Multi-Protocol Label Switching (MPLS) and DiffServ QoS management schemes to meet the

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Palacharla S V S Sridhar and Dr. Bechoo Lal. "An Automated QoS Value Extraction Using Egret Swarm Optimization for Service Correlation Mapping." International Journal of Scientific Research in Science and Technology 11, no. 2 (2024): 949–55. http://dx.doi.org/10.32628/ijsrst24112160.

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In the contemporary landscape of multi-service computing, optimizing Quality of Service (QoS) is paramount for ensuring both user satisfaction and system efficiency. Traditional methods of QoS optimization often fall short in dynamically adapting to the complexities of service-oriented architectures. This paper introduces a novel approach utilizing Egret Swarm Optimization (ESO) for automated extraction of QoS values and service correlation mapping. The proposed method leverages the unique characteristics of ESO to efficiently navigate the solution space, identifying optimal service compositio

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Parab, Rajat. "Truly Scalable and Reusable SOA Services." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 725–33. http://dx.doi.org/10.22214/ijraset.2022.41360.

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Abstract: Web Services are materialized as a major technology carried out for automated interaction between distributed and miscellaneous applications. It is defined as a software service that provides business solutions consumed by different service requester. It can be accessed by a standard web protocol. Service composition is the mechanism used for selecting, reusing and combining existing web services to build new web services. With immense increase in web services, quality assessment plays an essential role in the selection approach. QoS is defined as the ability to guarantee the require

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Podili, Prashanth, K. K. Pattanaik, and Prashanth Singh Rana. "BAT and Hybrid BAT Meta-Heuristic for Quality of Service-Based Web Service Selection." Journal of Intelligent Systems 26, no. 1 (2017): 123–37. http://dx.doi.org/10.1515/jisys-2015-0032.

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AbstractEfficient QoS-based service selection from a pool of functionally substitutable web services (WS) for constructing composite WS is important for an efficient business process. Service composition based on diverse QoS requirements is a multi-objective optimization problem. Meta-heuristic techniques such as genetic algorithm (GA), particle swarm optimization (PSO), and variants of PSO have been extensively used for solving multi-objective optimization problems. The efficiency of any such meta-heuristic techniques lies with their rate of convergence and execution time. This article evalua

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Putra, Fauzan Prasetyo Eka, Ubaidi Ubaidi, Mohammad Aziz, Moh Irfan, and Royfal Alim. "Improving Network Service Quality in parts of Sampang City: QoS Evaluation and User Perception of QoE." Brilliance: Research of Artificial Intelligence 4, no. 1 (2024): 408–12. http://dx.doi.org/10.47709/brilliance.v4i1.4311.

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In an era of rapid urbanization, the quality of network services in urban environments is becoming increasingly important. This article explores efforts to improve network service quality in several sampang cities through an evaluation of Quality of Service (QoS) and user perceptions of Quality of Experience (QoE). The research is based on a survey conducted at various locations in sampang city to collect data on the reliability, speed, and availability of network services. The survey involved a diverse sample of users, covering a wide range of ages, professions, and levels of technology usage

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Ma, Xin Qiang, Yi Huang, Dan Ning Li, and You Yuan Liu. "Study on Quality of Service Based on Trusted Computing." Applied Mechanics and Materials 556-562 (May 2014): 3941–44. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3941.

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Trusted computing is a hot topic of information security technology research nowadays. It was developed based on computing and Information Systems. At the same time, business processes for e-commerce and Web service applications, suppliers and customers define a binding agreement or contract between the two parties, specifying quality of service (QoS) items such as products or services to be delivered, deadlines, quality of products, and cost of services. The management of QoS metrics directly impacts the success of organizations participating in e-commerce. In this paper, we discuss the prese

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Ayoub, El-Alami, and Hair Abdellatif. "An Agent Architecture for Qos-Based Web Service Composition Using the Skyline Algorithm." International Journal of Informatics and Communication Technology (IJ-ICT) 6, no. 3 (2017): 179. http://dx.doi.org/10.11591/ijict.v6i3.pp179-188.

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<p>Web service composition is a concept based on the built of an abstract process, by combining multiple existing class instances, where during the execution, each service class is replaced by a concrete service, selected from several web service candidates. This approach has as an advantage generating flexible and low coupling applications, based on its conception on many elementary modules available on the web. The process of service selection during the composition is based on several axes, one of these axes is the QoS-based web service selection. The Qos or Quality of Service represe

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Rossi, Albert, Krishnaveni Chitrapu, Vincent Garonne, et al. "dCache: from Resilience to Quality of Service." EPJ Web of Conferences 251 (2021): 02043. http://dx.doi.org/10.1051/epjconf/202125102043.

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A major goal of future dCache development will be to allow users to define file Quality of Service (QoS) in a more flexible way than currently available. This will mean implementing what might be called a QoS rule engine responsible for registering and managing time-bound QoS transitions for files or storage units. In anticipation of this extension to existing dCache capabilities, the Resilience service, which maintains on-disk replica state, needs to undergo both structural modification and generalization. This paper describes ongoing work to transform Resilience into the new architecture whi

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Mahmoud, Omer, Farhat Anwar, Ali Sellami, and Aisha H. Abdulla. "Quality of Service over Heterogeneous Network with MPLS Backbone." Advanced Materials Research 433-440 (January 2012): 3362–65. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3362.

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Internet growth in recent years has encouraged many new applications to be provided for the end user. However, providing and maintaining high quality of service for these new applications is a challenging matter that is getting the attention of many many researchers nowadays. The QoS challenge is emanating from the diversity of these applications, in term of bandwidth requirements and high sensitivity to delay and delay variation. Three main architectures were proposed by IETF in an effort to make the IP QoS a reality. They are integrated services (Intserv), differentiated services (DiffServ)

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P, Rajeswari, and Jayashree K. "Survey on QoS metrics and ranking in cloud services." International Journal of Engineering & Technology 7, no. 1.3 (2017): 146. http://dx.doi.org/10.14419/ijet.v7i1.3.10660.

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The Cloud Computing uses high speed broadband for good Quality of Service (QoS) so that Cloud based application can be used with high speed which entails the minimum response time, less latency rate and reduced amount of loss of packets. Because of the ample range within the delivered Cloud solutions, from the customer’s aspect, it's emerged as irksome to decide whose providers they need to utilize and then what's the thought of his or her option. Bestowing suitable metrics is vital in assessing practices. QoS metrics are playing an important role in selecting Cloud providers and also revampin

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Medha N Kulkarni, Jagdish W Bakal. "Quality of Service in Software Defined Network: Leveraging OpenFlow Protocol." Journal of Information Systems Engineering and Management 10, no. 30s (2025): 309–15. https://doi.org/10.52783/jisem.v10i30s.4836.

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The research community has been showing an increasing amount of interest in the topic of Quality of Service (QoS) in computer networks. Now a days maximum network applications expect specific QoS assurance. In essence, Quality of Service (QoS) is essentially the capability of the network to provide the resources to satisfy the requirements of specific traffic. For instance, while streaming video there can be slight delay and when communicating data a lower packet loss rate is considered. The IETE had defined QoS architectures – IntServ and DiffServ. But both are not very much effective in supp

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Kaur, Harsimran, Anurag Rai, and Sarvjit Singh Bhatia. "An analysis of QoS ranking prediction framework techniques." Modern Physics Letters B 33, no. 01 (2019): 1850420. http://dx.doi.org/10.1142/s0217984918504201.

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In the real world, building the high quality cloud computing framework is the challenge for the researcher in the present scenario where on demand service is required. The services which are performing the non-functional activities are referred to as Quality-of Service (QoS). The experience of real-world usage services are generally required to obtain the QoS. Many organizations offer various cloud services, such as Amazon, HP and IBM, to the customers. No technique is available to measure the real-world usage and estimate the ranking of the cloud services. From the customer side, it is a very

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