A Fine-Grained Model for Adaptive On-Demand Provisioning of CPU Shares in Data Centers

Emerson Loureiro, Paddy Nixon, Simon Dobson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Data Centers usually host different third party applications, each of them possibly having different requirements in terms of QoS. To achieve them, sufficient resources, like CPU and memory, must be allocated to each application. However, workload fluctuations might arise, and so, resource demands will vary. Allocations based on worst/average case scenarios can lead to non-desirable results. A better approach is then to assign resources on demand. Also, due to the complexity and size of current and future systems, self-adaptive solutions are essential. In this paper, we then present Grains, a self-adaptive approach for resource management in Data Centers under varying workload.

Original languageEnglish
Title of host publicationSelf-organizing systems
PublisherSpringer-Verlag
Pages97-108
Number of pages12
Publication statusPublished - Dec 2008

Publication series

NameLecture Notes in Computer Science
PublisherSpringer-Verlag
Number5343

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