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AuthorDabbagh, Mehiar
AuthorHamdaoui, Bechir
AuthorGuizani, Mohsen
AuthorRayes, Ammar
Available date2016-06-12T10:03:43Z
Publication Date2014
Publication NameProceedings - IEEE INFOCOM
CitationM. Dabbagh, B. Hamdaoui, M. Guizani and A. Rayes, "Energy-efficient cloud resource management,"�Computer Communications Workshops (INFOCOM WKSHPS), 2014 IEEE Conference on, Toronto, ON, 2014, pp. 386-391.
AbstractWe propose a resource management framework that reduces energy consumption in cloud data centers. The proposed framework predicts the number of virtual machine requests along with their amounts of CPU and memory resources, provides accurate estimations of the number of needed physical machines, and reduces energy consumption by putting to sleep unneeded physical machines. Our framework is based on real Google traces collected over a 29-day period from a Google cluster containing over 12,500 physical machines. Using this Google data, we show that our proposed framework makes substantial energy savings.
SubjectCloud computing
Subjectcloud data centers
Subjectcloud data clustering
Subjectcloud load prediction
Subjectenergy efficiency
Subjectvirtual machines
Subjectenergy consumption
TitleEnergy-efficient cloud resource management
TypeConference Paper

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