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المؤلفDabbagh, Mehiar
المؤلفHamdaoui, Bechir
المؤلفGuizani, Mohsen
المؤلفRayes, Ammar
تاريخ الإتاحة2016-03-20T11:42:14Z
تاريخ النشر2014
اسم المنشور2014 IEEE Globecom Workshops, GC Wkshps 2014
المصدرScopus
الاقتباسM. Dabbagh, B. Hamdaoui, M. Guizani and A. Rayes, "Release-time aware VM placement," Globecom Workshops (GC Wkshps), 2014, Austin, TX, 2014, pp. 122-126.
الترقيم الدولي الموحد للكتاب 9.78E+12
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/GLOCOMW.2014.7063417
معرّف المصادر الموحدhttp://hdl.handle.net/10576/4255
الملخصConsolidating virtual machines (VMs) on as few physical machines (PMs) as possible so as to turn into sleep as many PMs as possible can make significant energy savings in cloud centers. Although traditional online bin packing heuristics, such as Best Fit (BF), have been used to reduce the number of active PMs, they share one common limitation; they do not account for VM release times, which can lead to an inefficient usage of energy resources. In this paper, we propose several extensions to the original BF heuristic by accounting for VMs' release times when making VM placement decisions. Our comparative studies conducted on Google traces show that, when compared to existing heuristics, the proposed heuristic reduces energy consumption and enhances utilization of cloud servers.
راعي المشروعCisco (CG-573228) and National Science Foundation (CAREER award CNS-0846044).
اللغةen
الناشرIEEE
الموضوعGoogle traces
Resource allocation
VM Placement
cloud computing
energy efficiency
العنوانRelease-time aware VM placement
النوعConference Paper
الصفحات122-126
dc.accessType Abstract Only


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