Adaptive management of shared resource pools with decentralized optimization and epidemics
Date:
2010-02-19
Recommended citation:
Loureiro, Emerson, Nixon, Paddy, Dobson, Simon
: Adaptive management of shared resource pools with decentralized optimization and epidemics. Paper presented at the 18th Euromicro Conference on Parallel, Distributed and Network-based Processing, PDP 2010, Pisa, Italy, February 17-19, 2010. 2010-02-19.
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
Conference Details:
Paper presented at the 18th Euromicro Conference on Parallel, Distributed and Network-based Processing, PDP 2010, Pisa, Italy, February 17-19, 2010
Type of material:
Conference Publication
Publisher:
IEEE
Copyright (published version):
2010 IEEE
Rights statement:
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Is part of:
Danelutto, M., Bourgeois, J., Gross, T. (eds.). 18th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2010 : proceedings
ISBN:
978-1-4244-5672-7
Status of item:
Peer reviewed
Language:
en
Availability:
Full text available
Available:
2011-05-23T15:34:45Z
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