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A Fine-grained Model for Adaptive On-demand Provisioning of CPU Shares in Data Centers
conference contribution
posted on 2023-05-23, 05:22 authored by Loureiro, E, Nixon, Paddy, Dobson, SData 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.
History
Publication title
Self-Organizing Systems: Third International Workshop, IWSOS 2008Volume
Lecture Notes in Computer Science v 5343Editors
Karin Anna Hummel and James P.G. SterbenzPagination
97-108ISBN
978-3-540-92156-1Publisher
SpringerPlace of publication
BerlinEvent title
International Workshop on Self-Organizing Systems (IWSOS)Event Venue
Vienna, AustriaDate of Event (Start Date)
2008-12-10Date of Event (End Date)
2008-12-12Rights statement
Copyright 2008 Springer-VerlagRepository Status
- Restricted