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dc.contributor.authorJAVADI, BAHMANen_US
dc.contributor.authorAbawajy, Jemalen_US
dc.contributor.authorSINNOTT, RICHARDen_US
dc.date.accessioned2014-05-22T06:48:14Z
dc.date.available2014-05-22T06:48:14Z
dc.date.issued2012en_US
dc.identifier.citationJavadi, B., Abawajy, J. & Sinnott, R. (2012). Hybrid Cloud resource provisioning policy in the presence of resource failures. In CloudCom 2012: 4th IEEE International Conference on Cloud Computing Technology and Science, Taipei, Taiwan.en_US
dc.identifier.urihttp://hdl.handle.net/11343/32697
dc.descriptionThis material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.en_US
dc.description.abstractResource provisioning is an important and challenging problem in distributed systems. 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 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.en_US
dc.languageengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://2012.cloudcom.orgen_US
dc.subjectresource provisioningen_US
dc.subjecthybrid Cloud computingen_US
dc.subjectfailure-prone systemsen_US
dc.subjectdeadlineen_US
dc.titleHybrid Cloud resource provisioning policy in the presence of resource failuresen_US
dc.typeConference Paperen_US
melbourne.peerreviewPeer Revieweden_US
melbourne.affiliationThe University of Melbourneen_US
melbourne.affiliation.departmentDepartment of Computing and Information Systemsen_US
melbourne.publication.statusUnpublisheden_US
melbourne.source.titleCloudCom 2012: 4th IEEE International Conference on Cloud Computing Technology and Scienceen_US
melbourne.source.locationconferenceTaipei, Taiwanen_US
dc.description.sourcedateconference3-6 Decemberen_US
melbourne.elementsidNA
melbourne.linkedresource.urlhttp://2012.cloudcom.org
melbourne.contributor.authorSinnott, Richard
melbourne.accessrightsOpen Access


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