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Adaptive Management of Shared Resource Pools with Decentralized Optimization and Epidemics

Citation

Loureiro, E and Nixon, P and Dobson, S, Adaptive Management of Shared Resource Pools with Decentralized Optimization and Epidemics, Proceedings of the 18th Euromicro Conference on Parallel, Distributed and Network-based Processing, 17-19 February 2010, Pisa, Italy, pp. 51-58. ISBN 978-0-7695-3939-3 (2010) [Refereed Conference Paper]

DOI: doi:10.1109/PDP.2010.17

Abstract

Shared resource pools are facilities featuring a certain amount of resources which can be used by different applications. For managing resources in such pools, the demand of each application can be used. Such a demand, however, is driven by the workload, which varies over time. For that reason, adaptive approaches have been proposed for the management of shared resources pools. Whereas a number of solutions exist in this context, they are either not truly decentralized or do not apply to the problem we are dealing with. In this paper, we then present Darma, an approach for managing shared resource pools in a truly decentralized, adaptive, and optimal way.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Distributed Computing
Research Field:Networking and Communications
Objective Division:Information and Communication Services
Objective Group:Communication Networks and Services
Objective Field:Communication Networks and Services not elsewhere classified
Author:Nixon, P (Professor Paddy Nixon)
ID Code:70102
Year Published:2010
Deposited By:Research Division
Deposited On:2011-06-02
Last Modified:2014-12-08
Downloads:0

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