Decentralized Self-optimization in Shared Resource Pools

Emerson Loureiro; Paddy Nixon; Simon Dobson

doi:10.1007/978-3-642-16793-5_7

Decentralized Self-optimization in Shared Resource Pools

Emerson Loureiro, Paddy Nixon, Simon Dobson

Research output: A Conference proceeding or a Chapter in Book › Chapter › peer-review

Abstract

Resource pools are collections of computational resources which can be shared by different applications. The goal with that is to accommodate the workload of each application, by splitting the total amount of resources in the pool among them. In this sense, utility functions have been pointed as the main tool for enabling self-optimizing behaviour in such pools. The goal with that is to allow resources from the pool to be split among applications, in a way that the best outcome is obtained. Whereas different solutions in this context exist, it has been found that none of them tackles the problem we deal with in a total decentralized way. In this paper, we then present a decentralized and self-optimizing approach for resource management in shared resource pools.

Original language	English
Title of host publication	Intelligent Networking, Collaborative Systems and Applications
Editors	Santi Caballé, Fatos Xhafa, Ajith Abraham
Publisher	Springer
Pages	149-170
Number of pages	22
ISBN (Electronic)	9783642167935
ISBN (Print)	9783642167928
DOIs	https://doi.org/10.1007/978-3-642-16793-5_7
Publication status	Published - 2011
Externally published	Yes

Access to Document

10.1007/978-3-642-16793-5_7

Cite this

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title = "Decentralized Self-optimization in Shared Resource Pools",

abstract = "Resource pools are collections of computational resources which can be shared by different applications. The goal with that is to accommodate the workload of each application, by splitting the total amount of resources in the pool among them. In this sense, utility functions have been pointed as the main tool for enabling self-optimizing behaviour in such pools. The goal with that is to allow resources from the pool to be split among applications, in a way that the best outcome is obtained. Whereas different solutions in this context exist, it has been found that none of them tackles the problem we deal with in a total decentralized way. In this paper, we then present a decentralized and self-optimizing approach for resource management in shared resource pools.",

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AU - Nixon, Paddy

AU - Dobson, Simon

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AB - Resource pools are collections of computational resources which can be shared by different applications. The goal with that is to accommodate the workload of each application, by splitting the total amount of resources in the pool among them. In this sense, utility functions have been pointed as the main tool for enabling self-optimizing behaviour in such pools. The goal with that is to allow resources from the pool to be split among applications, in a way that the best outcome is obtained. Whereas different solutions in this context exist, it has been found that none of them tackles the problem we deal with in a total decentralized way. In this paper, we then present a decentralized and self-optimizing approach for resource management in shared resource pools.

KW - Computational resources

KW - decentralized algorithms

KW - decentralized optimization

KW - resource containers

KW - resource management

KW - resource pools

KW - self-optimizing

KW - servers

KW - utility maximization

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BT - Intelligent Networking, Collaborative Systems and Applications

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A2 - Xhafa, Fatos

A2 - Abraham, Ajith

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