Decentralized Self-optimization in Shared Resource Pools

E Loureiro; Patrick Nixon; S Dobson

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

Decentralized Self-optimization in Shared Resource Pools

E Loureiro, Patrick Nixon, S Dobson

Research output: Chapter in Book/Report/Conference proceeding › 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	Studies in Computational Intelligence: Intelligent Networking, Collaborative Systems and Applications
Editors	S Caballé, F Xhafa, A Abraham
Place of Publication	Berlin
Publisher	Springer
Pages	149-170
Volume	329
ISBN (Print)	978-3-642-16792-8
DOIs	https://doi.org/10.1007/978-3-642-16793-5_7
Publication status	Published (in print/issue) - 2011

Keywords

Computational resources
decentralized algorithms
decentralized optimization
resource containers
resource management
resource pools
self-optimizing
servers
utility maximization

Access to Document

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

Cite this

@inbook{498cdb862f0d4a5d91ca8fe25bf13cf5,

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.",

keywords = "Computational resources, decentralized algorithms, decentralized optimization, resource containers, resource management, resource pools, self-optimizing, servers, utility maximization",

author = "E Loureiro and Patrick Nixon and S Dobson",

year = "2011",

doi = "10.1007/978-3-642-16793-5_7",

language = "English",

isbn = "978-3-642-16792-8",

volume = "329",

pages = "149--170",

editor = "S Caball{\'e} and F Xhafa and A Abraham",

booktitle = "Studies in Computational Intelligence: Intelligent Networking, Collaborative Systems and Applications",

publisher = "Springer",

address = "Switzerland",

}

Decentralized Self-optimization in Shared Resource Pools. / Loureiro, E; Nixon, Patrick; Dobson, S.
Studies in Computational Intelligence: Intelligent Networking, Collaborative Systems and Applications. ed. / S Caballé; F Xhafa; A Abraham. Vol. 329 Berlin: Springer, 2011. p. 149-170.

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

TY - CHAP

T1 - Decentralized Self-optimization in Shared Resource Pools

AU - Loureiro, E

AU - Nixon, Patrick

AU - Dobson, S

PY - 2011

Y1 - 2011

N2 - 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.

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

U2 - 10.1007/978-3-642-16793-5_7

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

M3 - Chapter

SN - 978-3-642-16792-8

VL - 329

SP - 149

EP - 170

BT - Studies in Computational Intelligence: Intelligent Networking, Collaborative Systems and Applications

A2 - Caballé, S

A2 - Xhafa, F

A2 - Abraham, A

PB - Springer

CY - Berlin

ER -