A framework for data center scale dynamic resource allocation algorithms

A. P. Chester; M. Leeke; M. Al-Ghamdi; A. Jhumka; S. A. Jarvis

doi:10.1109/CIT.2011.72

A framework for data center scale dynamic resource allocation algorithms

A. P. Chester^*, M. Leeke, M. Al-Ghamdi, A. Jhumka, S. A. Jarvis

^*Corresponding author for this work

Engineering and Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The scale and complexity of online applications and e-business infrastructures has led service providers to rely on the capabilities of large-scale hosting platforms, i.e., data centers. Dynamic resource allocation (DRA) algorithms have been shown to allow server resource allocation to be matched with application workload, which can improve server resource utilisation and drive down costs for service providers. However, research on DRA algorithms has almost exclusively focused on their performance characteristics at small-scale, precluding their useful application in commercial hosting environments, such as those dedicated to supporting cloud computing. In this paper, we show, and subsequently propose a framework to address, the scalability problems of current DRA algorithms. We then build on the proposed framework to develop a highlyscalable algorithm for dynamic resource allocation.

Original language	English
Title of host publication	Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011
Pages	67-74
Number of pages	8
DOIs	https://doi.org/10.1109/CIT.2011.72
Publication status	Published - 2011
Event	11th IEEE International Conference on Computer and Information Technology, CIT 2011 and 11th IEEE International Conference on Scalable Computing and Communications, SCALCOM 2011 - Pafos, Cyprus Duration: 31 Aug 2011 → 2 Sept 2011

Publication series

Name	Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011

Conference

Conference	11th IEEE International Conference on Computer and Information Technology, CIT 2011 and 11th IEEE International Conference on Scalable Computing and Communications, SCALCOM 2011
Country/Territory	Cyprus
City	Pafos
Period	31/08/11 → 2/09/11

Keywords

Cloud computing
Data center
Dynamic resource allocation
Scalability
Server provisioning

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Access to Document

10.1109/CIT.2011.72

Cite this

Chester, A. P., Leeke, M., Al-Ghamdi, M., Jhumka, A., & Jarvis, S. A. (2011). A framework for data center scale dynamic resource allocation algorithms. In Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011 (pp. 67-74). Article 6036593 (Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011). https://doi.org/10.1109/CIT.2011.72

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title = "A framework for data center scale dynamic resource allocation algorithms",

abstract = "The scale and complexity of online applications and e-business infrastructures has led service providers to rely on the capabilities of large-scale hosting platforms, i.e., data centers. Dynamic resource allocation (DRA) algorithms have been shown to allow server resource allocation to be matched with application workload, which can improve server resource utilisation and drive down costs for service providers. However, research on DRA algorithms has almost exclusively focused on their performance characteristics at small-scale, precluding their useful application in commercial hosting environments, such as those dedicated to supporting cloud computing. In this paper, we show, and subsequently propose a framework to address, the scalability problems of current DRA algorithms. We then build on the proposed framework to develop a highlyscalable algorithm for dynamic resource allocation.",

keywords = "Cloud computing, Data center, Dynamic resource allocation, Scalability, Server provisioning",

author = "Chester, {A. P.} and M. Leeke and M. Al-Ghamdi and A. Jhumka and Jarvis, {S. A.}",

year = "2011",

doi = "10.1109/CIT.2011.72",

language = "English",

isbn = "9780769543888",

series = "Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011",

pages = "67--74",

booktitle = "Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011",

note = "11th IEEE International Conference on Computer and Information Technology, CIT 2011 and 11th IEEE International Conference on Scalable Computing and Communications, SCALCOM 2011 ; Conference date: 31-08-2011 Through 02-09-2011",

}

Chester, AP, Leeke, M, Al-Ghamdi, M, Jhumka, A & Jarvis, SA 2011, A framework for data center scale dynamic resource allocation algorithms. in Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011., 6036593, Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011, pp. 67-74, 11th IEEE International Conference on Computer and Information Technology, CIT 2011 and 11th IEEE International Conference on Scalable Computing and Communications, SCALCOM 2011, Pafos, Cyprus, 31/08/11. https://doi.org/10.1109/CIT.2011.72

A framework for data center scale dynamic resource allocation algorithms. / Chester, A. P.; Leeke, M.; Al-Ghamdi, M. et al.
Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011. 2011. p. 67-74 6036593 (Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - A framework for data center scale dynamic resource allocation algorithms

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AU - Leeke, M.

AU - Al-Ghamdi, M.

AU - Jhumka, A.

AU - Jarvis, S. A.

PY - 2011

Y1 - 2011

N2 - The scale and complexity of online applications and e-business infrastructures has led service providers to rely on the capabilities of large-scale hosting platforms, i.e., data centers. Dynamic resource allocation (DRA) algorithms have been shown to allow server resource allocation to be matched with application workload, which can improve server resource utilisation and drive down costs for service providers. However, research on DRA algorithms has almost exclusively focused on their performance characteristics at small-scale, precluding their useful application in commercial hosting environments, such as those dedicated to supporting cloud computing. In this paper, we show, and subsequently propose a framework to address, the scalability problems of current DRA algorithms. We then build on the proposed framework to develop a highlyscalable algorithm for dynamic resource allocation.

AB - The scale and complexity of online applications and e-business infrastructures has led service providers to rely on the capabilities of large-scale hosting platforms, i.e., data centers. Dynamic resource allocation (DRA) algorithms have been shown to allow server resource allocation to be matched with application workload, which can improve server resource utilisation and drive down costs for service providers. However, research on DRA algorithms has almost exclusively focused on their performance characteristics at small-scale, precluding their useful application in commercial hosting environments, such as those dedicated to supporting cloud computing. In this paper, we show, and subsequently propose a framework to address, the scalability problems of current DRA algorithms. We then build on the proposed framework to develop a highlyscalable algorithm for dynamic resource allocation.

KW - Cloud computing

KW - Data center

KW - Dynamic resource allocation

KW - Scalability

KW - Server provisioning

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Chester AP, Leeke M, Al-Ghamdi M, Jhumka A, Jarvis SA. A framework for data center scale dynamic resource allocation algorithms. In Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011. 2011. p. 67-74. 6036593. (Proceedings - 11th IEEE International Conference on Computer and Information Technology, CIT 2011). doi: 10.1109/CIT.2011.72

A framework for data center scale dynamic resource allocation algorithms

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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