Adaptive management of shared resource pools with decentralized optimization and epidemics

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Title: Adaptive management of shared resource pools with decentralized optimization and epidemics
Authors: Loureiro, Emerson
Nixon, Paddy
Dobson, Simon
Permanent link: http://hdl.handle.net/10197/2944
Date: 19-Feb-2010
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.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2010 IEEE
Keywords: Shared resource pools;Adaptive approach
Subject LCSH: Adaptive computing systems
Application software
Computer networks--Management
DOI: 10.1109/PDP.2010.17
Language: en
Status of Item: Peer reviewed
Is part of: Danelutto, M., Bourgeois, J., Gross, T. (eds.). 18th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2010 : proceedings
Conference Details: Paper presented at the 18th Euromicro Conference on Parallel, Distributed and Network-based Processing, PDP 2010, Pisa, Italy, February 17-19, 2010
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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