Abstract
| 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 |
| Pages | 149-170 |
| Volume | 329 |
| DOIs | |
| Publication status | Published - 2011 |
Keywords
- Computational resources
- decentralized algorithms
- decentralized optimization
- resource containers
- resource management
- resource pools
- self-optimizing
- servers
- utility maximization
Cite this
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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, 2011. p. 149-170.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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
CY - Berlin
ER -