Decentralized Self-optimization in Shared Resource Pools

Emerson Loureiro, Paddy Nixon, Simon Dobson

Research output: A Conference proceeding or a Chapter in BookChapter

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 languageEnglish
Title of host publicationIntelligent Networking, Collaborative Systems and Applications
EditorsSanti Caballé, Fatos Xhafa, Ajith Abraham
PublisherSpringer
Pages149-170
Number of pages22
ISBN (Electronic)9783642167935
ISBN (Print)9783642167928
DOIs
Publication statusPublished - 2011
Externally publishedYes

Cite this

Loureiro, E., Nixon, P., & Dobson, S. (2011). Decentralized Self-optimization in Shared Resource Pools. In S. Caballé, F. Xhafa, & A. Abraham (Eds.), Intelligent Networking, Collaborative Systems and Applications (pp. 149-170). Springer. https://doi.org/10.1007/978-3-642-16793-5_7