Hybrid cloud resource provisioning policy in the presence of resource failures

Javadi, Bahman, Abawajy, Jemal and Sinnott, Richard O. 2012, Hybrid cloud resource provisioning policy in the presence of resource failures, in CloudCom 2012 : Proceedings of the 4th IEEE International Conference on Cloud Computing Technology and Science, IEEE, Piscataway, N.J., pp. 10-17.

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Title Hybrid cloud resource provisioning policy in the presence of resource failures
Author(s) Javadi, Bahman
Abawajy, Jemal
Sinnott, Richard O.
Conference name Cloud Computing Technology and Science. Conference (4th : 2012 : Taipei, Taiwan)
Conference location Taipei, Taiwan
Conference dates 3-6 Dec. 2012
Title of proceedings CloudCom 2012 : Proceedings of the 4th IEEE International Conference on Cloud Computing Technology and Science
Editor(s) [Unknown]
Publication date 2012
Conference series Cloud Computing Technology and Science Conference
Start page 10
End page 17
Total pages 8
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) resource provisioning
hybrid cloud computing
failure-prone systems
deadline
Summary Resource provisiomng is an important and challenging problem in the large-scale distributed systems such as Cloud computing environments. Resource management issues such as Quality of Service (QoS) further exacerbate the resource provisioning problem. Furthermore, with the increasing functionality and complexity of Cloud computing, resource failures are inevitable. Therefore, the question we address in this paper is how to provision resources to applications in the presence of resource failures in a hybrid Cloud computing environment. To this end, we propose three Cloud resource provisioning policies where we utilize workflow applications to drive the system workload. The proposed strategies take into account the workload model and the failure correlations to redirect requests to appropriate Cloud providers. Using real failure traces and workload models, we evaluated the performance and monetary cost of the proposed policies. The results of our experiments show that we can decrease the deadline violation rate of users' requests to as low as 20% with a limited cost on Amazon public Cloud.
ISBN 9781467345101
Language eng
Field of Research 080501 Distributed and Grid Systems
Socio Economic Objective 890202 Application Tools and System Utilities
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2012, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30051781

Document type: Conference Paper
Collection: School of Information Technology
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