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

Emerson Loureiro; Paddy Nixon; Simon Dobson

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

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 Book › Conference contribution › peer-review

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 language	English
Title of host publication	Self-Organizing Systems
Subtitle of host publication	Third International Workshop, IWSOS 2008, Vienna, Austria, December 10-12, 2008
Editors	Karin Anna Hummel, James P. G. Sterbenz
Place of Publication	Berlin
Publisher	Springer
Pages	97-108
Number of pages	12
ISBN (Electronic)	9783642108655
ISBN (Print)	9783642108648
DOIs	https://doi.org/10.1007/978-3-540-92157-8_9
Publication status	Published - 2008
Externally published	Yes
Event	4th IFIP TC 6 International Workshop, IWSOS 2009: Self-Organizing Systems - Zurich, Zurich, Switzerland Duration: 9 Dec 2009 → 11 Dec 2009

Conference

Conference	4th IFIP TC 6 International Workshop, IWSOS 2009
Abbreviated title	IWSOS 2009
Country/Territory	Switzerland
City	Zurich
Period	9/12/09 → 11/12/09

Access to Document

10.1007/978-3-540-92157-8_9

Cite this

@inproceedings{7307625332524405b8c0401dacd4b88e,

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

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.",

author = "Emerson Loureiro and Paddy Nixon and Simon Dobson",

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doi = "10.1007/978-3-540-92157-8_9",

language = "English",

isbn = "9783642108648",

pages = "97--108",

editor = "Hummel, {Karin Anna} and Sterbenz, {James P. G.}",

booktitle = "Self-Organizing Systems",

publisher = "Springer",

address = "Netherlands",

note = "4th IFIP TC 6 International Workshop, IWSOS 2009 : Self-Organizing Systems, IWSOS 2009 ; Conference date: 09-12-2009 Through 11-12-2009",

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Loureiro, E, Nixon, P & Dobson, S 2008, A Fine-grained Model for Adaptive On-demand Provisioning of CPU Shares in Data Centers. in KA Hummel & JPG Sterbenz (eds), Self-Organizing Systems: Third International Workshop, IWSOS 2008, Vienna, Austria, December 10-12, 2008. Springer, Berlin, pp. 97-108, 4th IFIP TC 6 International Workshop, IWSOS 2009, Zurich, Switzerland, 9/12/09. https://doi.org/10.1007/978-3-540-92157-8_9

A Fine-grained Model for Adaptive On-demand Provisioning of CPU Shares in Data Centers. / Loureiro, Emerson; Nixon, Paddy; Dobson, Simon.
Self-Organizing Systems: Third International Workshop, IWSOS 2008, Vienna, Austria, December 10-12, 2008. ed. / Karin Anna Hummel; James P. G. Sterbenz. Berlin: Springer, 2008. p. 97-108.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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AU - Loureiro, Emerson

AU - Nixon, Paddy

AU - Dobson, Simon

PY - 2008

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N2 - 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.

AB - 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.

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BT - Self-Organizing Systems

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