Centralized vs. Decentralized QoS Management policy

Alhalabi, F.; Batouma, Narkoy; Aubry, Régis; Maranzana, M.; Morel, Lionel; Sourrouille, Jean-Louis

doi:10.1109/ictta.2008.4530213

Cited by 3 publications

(1 citation statement)

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“…For example, [5] evaluates QoS in downlink OFDMA wireless cellular networks, [6] presents the challenges and recent advances in QoS provisioning for wireless mesh networks, [7] discusses the provision of QoS guarantees in next generation heterogeneous networks], [8] presents a QoS adaptive framework for WiMax networks and [9] provides a hierarchical QoS framework for wireless multimedia networks. In addition, [10] discusses the subject of QoS in multihop wireless mobile networks, [11] compares centralised and decentralised QoS management policies, whereas [12] presents a game-theoretic analysis of QoS in the wireless medium access control (MAC) layer. Further, game-theoretic approaches for QoS provision have been proposed in [13,14]; the former presents a hybrid solution for radio resource management and the latter presents a cooperative two-level resource allocation scheme for QoS provision.…”

Section: Introductionmentioning

confidence: 99%

Distributed quality of service provision using coalitions and the Nash bargaining solution

et al. 2013

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Section: Introductionmentioning

confidence: 99%

Distributed quality of service provision using coalitions and the Nash bargaining solution

et al. 2013

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Framework for Behavior Adaptation of Distributed Applications

Batouma

Sourrouille

2010

Communications in Computer and Information Science

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Decentralized resource management using a borrowing schema

Batouma

Sourrouille

2010

ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010

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Resource management is a main issue when distributed applications should meet some Quality of Service (QoS) constraints. Centralized approaches are widely used for many good reasons, but decentralized approaches are often more reliable. A local view of the system from a node is not sufficient to make sound decisions. To synchronize their actions, nodes must exchange data with each other. Exchanging data incurs a cost; hence, to reduce the amount of exchanged data is desirable. This paper presents a distributed middleware to manage resources in a decentralized manner, using an approximate scheduling and a resource-borrowing scheme to improve the total QoS of the system. On each node, managers construct a comprehensive view of resource availability in the whole system. Our borrowing scheme aims to guarantee that as many applications as possible meet their deadline, to reject as few applications as possible, while decreasing the exchange costs and increasing the use of resources. Simulations show the usefulness of the approach and give encouraging results.

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Centralized vs. Decentralized QoS Management policy

Cited by 3 publications

References 10 publications

Distributed quality of service provision using coalitions and the Nash bargaining solution

Distributed quality of service provision using coalitions and the Nash bargaining solution

Framework for Behavior Adaptation of Distributed Applications

Decentralized resource management using a borrowing schema

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