Automatic provisioning of end-to-end QoS into the home

Brewka, Lukasz; Skoldstrom, Pontus; Nelis, Jelle; Wessing, Henrik; Develder, Chris

doi:10.1109/tce.2011.6131140

Cited by 5 publications

(7 citation statements)

References 19 publications

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“…In addition, they present a simulation model and verify the performance improvement of the APSHC scheme; it can enable us to determine what accuracy of the classifiers is required to obtain satisfactory improvements. The simulation results clearly show that the APSHC scheme can properly classify traffic flows coming from different smart devices while raising the QoS level [9].…”

Section: Related Workmentioning

confidence: 93%

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Home Network Traffic Control Scheme Based on Two-Level Bargaining Game Model

Kim

2021

IEEE Access

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This article presents a new smart home network (SHN) traffic control scheme to adaptively handle different quality of service (QoS) traffic services. According to their special characteristics, we categorize the SHN traffic services into three classes -class I, II and III data services -to share the limited SHN bandwidth resource. To effectively share the limited resource, we adopt the bridging and iterated egalitarian bargaining solutions, and formulate a two-level cooperative bargaining game. At the over bargaining process, the idea of bridging bargaining solution is used to compromise the conflicting views of real-time and non real-time data services. At the under bargaining process, class I and class II data services share the assigned bandwidth based on the concept of iterated egalitarian bargaining solution. These both processes are implemented to take full advantages of collaborative SHN traffic services. This interactive coordinated paradigm explores the mutual benefits under dynamically changing SHN environments. The most important novelties of our two-level bargaining approach is to compromise diverse QoS requirements while leveraging a reciprocal consensus among different traffic services. In a coordinated manner, we can get a globally desirable solution to challenge the relatively fair-efficient gains. Finally, simulation testbed is constructed and the numerical analysis is conducted to demonstrate the performance improvement of our proposed method. INDEX TERMSSmart home network, Smart home gateway, Cooperative bargaining game theory, Bridging bargaining, Iterated egalitarian bargaining.

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Section: Related Workmentioning

confidence: 93%

“…L. Brewka et al develop the Automatic Provisioning Smart Home Control (APSHC) scheme while paying attention to the end-to-end QoS [9]. First, they concern the proposal of automatic classification of traffic flows for the resource reservation and assessment of required level of classification accuracy.…”

Section: Related Workmentioning

confidence: 99%

Home Network Traffic Control Scheme Based on Two-Level Bargaining Game Model

Kim

2021

IEEE Access

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“…This approach is different from the QoSiLAN framework, since it does not aim to prevent congestion, but only to react on network performance degradation, which leads to lower video quality and therefore probably lower QoE. Brewka et al [35] propose an enhancement to UPnP QoS for automatic QoS provisioning, which is a missing feature to have a better comparability to the QoSiLAN framework. They describe the problem of autoclassification of the traffic from non-UPnP-QoS devices present in UPnPQoS enabled networks.…”

Section: Layermentioning

confidence: 99%

Autonomous QoS Management and Policing in Unmanaged Local Area Networks

Köhnen

Überall

Rajarajan

et al. 2015

Journal of Computer Networks and Communications

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The high increase of bandwidth-intensive applications like high definition video streaming in home and small office environments leads to QoS challenges in hybrid wired/wireless local area networks. These networks are often not QoS aware and may contain bottlenecks in their topology. In addition, they often have a hybrid nature due to the used access technology consisting of, for example, Ethernet, wireless, and PowerLAN links. In this paper, we present the research work on a novel autonomous system for hybrid QoS in local area networks, called QoSiLAN, which does not rely on network infrastructure support but on host cooperation and works independently of the access technology. We present a new QoS Signalling Protocol, policing and admission control algorithms, and a new lightweight statistical bandwidth prediction algorithm for autonomous resource management in LANs. This new QoS framework enables link based, access-medium independent bandwidth management without network support. We provide evaluation results for the novel bandwidth prediction algorithm as well as for the QoSiLAN framework and its protocol, which highlight the features, robustness, and the effectiveness of the proposed system.

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“…The current paper in particular proposes and analyzes optimization (through parallelization) of the performance of the aggregation algorithms. Other works address the issue of quality of service (QoS) and possible adaptation of the video format [7], [12], a complementary topic which we do not further elaborate on here.…”

Section: Related Workmentioning

confidence: 99%

“…To alleviate the cold start problem that often occurs in recommendation algorithms, the user feedback in the system is further enriched by importing the publicly available MovieLens (100K) dataset 7 . This dataset contains information about 1682 popular movies, including 100 000 ratings (on a 1 to 5 scale) of 943 users.…”

Section: Preprocessing Feedbackmentioning

confidence: 99%