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AuthorDabbagh, Mehiar
AuthorHamdaoui, Bechir
AuthorGuizani, Mohsen
AuthorRayes, Ammar
Available date2022-11-10T09:47:23Z
Publication Date2015
Publication NameProceedings - IEEE INFOCOM
ResourceScopus
Resource2-s2.0-84943275377
URIhttp://dx.doi.org/10.1109/INFCOMW.2015.7179406
URIhttp://hdl.handle.net/10576/36144
AbstractWe propose an efficient resource allocation framework for overcommitted clouds that makes great energy savings by 1) minimizing PM overloads via resource usage prediction, and 2) reducing the number of active PMs via efficient VM placement and migration. Using real Google traces collected from a cluster containing more than 12K PMs, we show that our proposed techniques outperform existing ones by minimizing migration overhead, increasing resource utilization, and reducing energy consumption. 2015 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectcloud computing
Energy efficiency
VM migration
workload prediction
TitleEfficient datacenter resource utilization through cloud resource overcommitment
TypeConference Paper
Pagination330-335
Volume Number2015-August
dc.accessType Abstract Only


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