Adaptive Management of Shared Resource Pools with Decentralized Optimization and Epidemics

E Loureiro; Patrick Nixon; S Dobson

doi:10.1109/PDP.2010.17

Adaptive Management of Shared Resource Pools with Decentralized Optimization and Epidemics

E Loureiro, Patrick Nixon, S Dobson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Unknown Host Publication
Editors	Julien Bourgeois Marco Danelutto
Publisher	IEEE Computer Society
Pages	51-58
Number of pages	8
ISBN (Print)	978-0-7695-3939-3
DOIs	https://doi.org/10.1109/PDP.2010.17
Publication status	Published - 2010
Event	Proceedings of the 18th Euromicro Conference on Parallel, Distributed and Network-based Processing - Pisa, Italy Duration: 1 Jan 2010 → …

Conference

Conference	Proceedings of the 18th Euromicro Conference on Parallel, Distributed and Network-based Processing
Period	1/01/10 → …

Keywords

n/a

Access to Document

10.1109/PDP.2010.17

Cite this

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title = "Adaptive Management of Shared Resource Pools with Decentralized Optimization and Epidemics",

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.",

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AB - 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.

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