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Adaptive management of shared resource pools with decentralized optimization and epidemics
Author(s)
Date Issued
2010-02-19
Date Available
2011-05-23T15:34:45Z
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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2010 IEEE
Subject – LCSH
Adaptive computing systems
Application software
Computer networks--Management
Web versions
Language
English
Status of Item
Peer reviewed
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
ISBN
978-1-4244-5672-7
This item is made available under a Creative Commons License
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Adaptive_Management_of_Shared_Resource_Pools.pdf
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