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Quality of service

About: Quality of service is a(n) research topic. Over the lifetime, 77165 publication(s) have been published within this topic receiving 996632 citation(s). The topic is also known as: QoS & qos.

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Papers
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Open accessJournal ArticleDOI: 10.1016/J.ADHOC.2003.09.010
Kemal Akkaya1, Mohamed Younis1Institutions (1)
01 May 2005-
Abstract: Recent advances in wireless sensor networks have led to many new protocols specifically designed for sensor networks where energy awareness is an essential consideration. Most of the attention, however, has been given to the routing protocols since they might differ depending on the application and network architecture. This paper surveys recent routing protocols for sensor networks and presents a classification for the various approaches pursued. The three main categories explored in this paper are data-centric, hierarchical and location-based. Each routing protocol is described and discussed under the appropriate category. Moreover, protocols using contemporary methodologies such as network flow and quality of service modeling are also discussed. The paper concludes with open research issues. � 2003 Elsevier B.V. All rights reserved.

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  • Fig. 6. Chaining in PEGASIS.
    Fig. 6. Chaining in PEGASIS.
  • Fig. 15. Routing compo
    Fig. 15. Routing compo
  • Fig. 11. Example of virtual grid in GAF.
    Fig. 11. Example of virtual grid in GAF.
  • Fig. 1. The implosion problem. Node A starts by flooding its data to all of its neighbors. D gets two same copies of data eventually, which is not necessary.
    Fig. 1. The implosion problem. Node A starts by flooding its data to all of its neighbors. D gets two same copies of data eventually, which is not necessary.
  • Fig. 5. Query plan at a leader node: the leader node gets all the readings, calculates the average and if it is greater than a threshold sends it to the gateway (sink).
    Fig. 5. Query plan at a leader node: the leader node gets all the readings, calculates the average and if it is greater than a threshold sends it to the gateway (sink).
  • + 9

3,501 Citations


Open accessJournal ArticleDOI: 10.1016/J.FUTURE.2011.04.017
Abstract: Cloud computing offers utility-oriented IT services to users worldwide. Based on a pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and business domains. However, data centers hosting Cloud applications consume huge amounts of electrical energy, contributing to high operational costs and carbon footprints to the environment. Therefore, we need Green Cloud computing solutions that can not only minimize operational costs but also reduce the environmental impact. In this paper, we define an architectural framework and principles for energy-efficient Cloud computing. Based on this architecture, we present our vision, open research challenges, and resource provisioning and allocation algorithms for energy-efficient management of Cloud computing environments. The proposed energy-aware allocation heuristics provision data center resources to client applications in a way that improves energy efficiency of the data center, while delivering the negotiated Quality of Service (QoS). In particular, in this paper we conduct a survey of research in energy-efficient computing and propose: (a) architectural principles for energy-efficient management of Clouds; (b) energy-efficient resource allocation policies and scheduling algorithms considering QoS expectations and power usage characteristics of the devices; and (c) a number of open research challenges, addressing which can bring substantial benefits to both resource providers and consumers. We have validated our approach by conducting a performance evaluation study using the CloudSim toolkit. The results demonstrate that Cloud computing model has immense potential as it offers significant cost savings and demonstrates high potential for the improvement of energy efficiency under dynamic workload scenarios.

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  • Fig. 10. The network optimization.
    Fig. 10. The network optimization.
  • Fig. 11. The temperature optimization.
    Fig. 11. The temperature optimization.
  • Fig. 9. The optimization over multiple resources.
    Fig. 9. The optimization over multiple resources.
  • Fig. 3. The mean energy consumption by the MM policy for different values of the utilization thresholds.
    Fig. 3. The mean energy consumption by the MM policy for different values of the utilization thresholds.
  • Fig. 2. The energy consumption and SLA violations by the ST policy.
    Fig. 2. The energy consumption and SLA violations by the ST policy.
  • + 5

Topics: Cloud computing (67%), Utility computing (65%), CloudSim (65%) ...read more

2,257 Citations


Journal ArticleDOI: 10.1109/COMST.2016.2532458
Mamta Agiwal1, Abhishek Roy2, Navrati Saxena1Institutions (2)
Abstract: The vision of next generation 5G wireless communications lies in providing very high data rates (typically of Gbps order), extremely low latency, manifold increase in base station capacity, and significant improvement in users’ perceived quality of service (QoS), compared to current 4G LTE networks. Ever increasing proliferation of smart devices, introduction of new emerging multimedia applications, together with an exponential rise in wireless data (multimedia) demand and usage is already creating a significant burden on existing cellular networks. 5G wireless systems, with improved data rates, capacity, latency, and QoS are expected to be the panacea of most of the current cellular networks’ problems. In this survey, we make an exhaustive review of wireless evolution toward 5G networks. We first discuss the new architectural changes associated with the radio access network (RAN) design, including air interfaces, smart antennas, cloud and heterogeneous RAN. Subsequently, we make an in-depth survey of underlying novel mm-wave physical layer technologies, encompassing new channel model estimation, directional antenna design, beamforming algorithms, and massive MIMO technologies. Next, the details of MAC layer protocols and multiplexing schemes needed to efficiently support this new physical layer are discussed. We also look into the killer applications, considered as the major driving force behind 5G. In order to understand the improved user experience, we provide highlights of new QoS, QoE, and SON features associated with the 5G evolution. For alleviating the increased network energy consumption and operating expenditure, we make a detail review on energy awareness and cost efficiency. As understanding the current status of 5G implementation is important for its eventual commercialization, we also discuss relevant field trials, drive tests, and simulation experiments. Finally, we point out major existing research issues and identify possible future research directions.

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Topics: Radio resource management (63%), Wireless network (61%), Multi-user MIMO (56%) ...read more

1,918 Citations


Open accessJournal ArticleDOI: 10.1109/49.536364
Zheng Wang1, Jon Crowcroft1Institutions (1)
Abstract: Several new architectures have been developed for supporting multimedia applications such as digital video and audio. However, quality-of-service (QoS) routing is an important element that is still missing from these architectures. In this paper, we consider a number of issues in QoS routing. We first examine the basic problem of QoS routing, namely, finding a path that satisfies multiple constraints, and its implications on routing metric selection, and then present three path computation algorithms for source routing and for hop-by-hop routing.

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  • Figure 2: A Loop Involving Node A and Node B width (p 2) ≤width (p 1*p 2* ) (9)
    Figure 2: A Loop Involving Node A and Node B width (p 2) ≤width (p 1*p 2* ) (9)
  • Figure 1: Assignment to Two Links Between Node i and i +1
    Figure 1: Assignment to Two Links Between Node i and i +1
Topics: Static routing (77%), Policy-based routing (76%), Dynamic Source Routing (75%) ...read more

1,713 Citations


Open accessBook
05 Apr 2006-
Abstract: Information flow in a telecommunication network is accomplished through the interaction of mechanisms at various design layers with the end goal of supporting the information exchange needs of the applications. In wireless networks in particular, the different layers interact in a nontrivial manner in order to support information transfer. In this text we will present abstract models that capture the cross-layer interaction from the physical to transport layer in wireless network architectures including cellular, ad-hoc and sensor networks as well as hybrid wireless-wireline. The model allows for arbitrary network topologies as well as traffic forwarding modes, including datagrams and virtual circuits. Furthermore the time varying nature of a wireless network, due either to fading channels or to changing connectivity due to mobility, is adequately captured in our model to allow for state dependent network control policies. Quantitative performance measures that capture the quality of service requirements in these systems depending on the supported applications are discussed, including throughput maximization, energy consumption minimization, rate utility function maximization as well as general performance functionals. Cross-layer control algorithms with optimal or suboptimal performance with respect to the above measures are presented and analyzed. A detailed exposition of the related analysis and design techniques is provided.

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Topics: Wireless network (65%), Heterogeneous network (63%), Network architecture (62%) ...read more

1,574 Citations


Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202256
20212,462
20203,129
20193,357
20183,535
20173,352

Top Attributes

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Topic's top 5 most impactful authors

Klara Nahrstedt

137 papers, 7.4K citations

Weihua Zhuang

120 papers, 2.7K citations

Victor C. M. Leung

109 papers, 2.6K citations

Xuemin Shen

101 papers, 2.9K citations

Guy Pujolle

95 papers, 1K citations

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