Adaptive Management of Shared Resource Pools with Decentralized Optimization and Epidemics

Emerson Loureiro, Paddy Nixon, Simon Dobson

Research output: A Conference proceeding or a Chapter in BookConference contribution

5 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings of the 18th Euromicro Conference on Parallel, Distributed and Network-based Processing
EditorsJulien Bourgeois, Marco Danelutto, Tom Gross
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages51-58
Number of pages8
ISBN (Electronic)9781424456734
ISBN (Print)9781424456727
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event18th Euromicro Conference on Parallel, Distributed and Network-based Processing 2010 - Pisa, Pisa, Italy
Duration: 17 Feb 201019 Feb 2010

Publication series

Name2010 18th Euromicro Conference on Parallel, Distributed and Network-based Processing
PublisherIEEE
ISSN (Print)1066-6192
ISSN (Electronic)2377-5750

Conference

Conference18th Euromicro Conference on Parallel, Distributed and Network-based Processing 2010
CountryItaly
CityPisa
Period17/02/1019/02/10

Cite this