A Fine-grained Model for Adaptive On-demand Provisioning of CPU Shares in Data Centers

Emerson Loureiro, Paddy Nixon, Simon Dobson

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

1 Citation (Scopus)


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
Subtitle of host publicationThird International Workshop, IWSOS 2008, Vienna, Austria, December 10-12, 2008
EditorsKarin Anna Hummel, James P. G. Sterbenz
Place of PublicationBerlin
Number of pages12
ISBN (Electronic)9783642108655
ISBN (Print)9783642108648
Publication statusPublished - 2008
Externally publishedYes
Event4th IFIP TC 6 International Workshop, IWSOS 2009: Self-Organizing Systems - Zurich, Zurich, Switzerland
Duration: 9 Dec 200911 Dec 2009


Conference4th IFIP TC 6 International Workshop, IWSOS 2009
Abbreviated titleIWSOS 2009


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