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


Loureiro, E and Nixon, Paddy and Dobson, S, A Fine-grained Model for Adaptive On-demand Provisioning of CPU Shares in Data Centers, Self-Organizing Systems: Third International Workshop, IWSOS 2008, 10-12 December 2008, Vienna, Austria, pp. 97-108. ISBN 978-3-540-92156-1 (2008) [Refereed Conference Paper]

Copyright Statement

Copyright 2008 Springer-Verlag

DOI: doi:10.1007/978-3-540-92157-8_9


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.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Software engineering
Research Field:Software architecture
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Nixon, Paddy (Professor Paddy Nixon)
ID Code:69509
Year Published:2008
Deposited By:Research Division
Deposited On:2011-04-20
Last Modified:2012-11-09

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