Power-Efficient Virtual Machine Placement and Migration in Data Centers

Fang, Shuo; Kanagavelu, Renuga; Lee, Bu-Sung; Foh, Chuan Heng; Aung, Khin Mi Mi

doi:10.1109/greencom-ithings-cpscom.2013.246

Cited by 31 publications

(11 citation statements)

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“…Authors in [18] consider Fat-tree DC topology to propose a solution for VMP problem and migration. The solution reduces the power cost and job delay by consolidating VMs to a few PMs and migrating VMs to close locations.…”

Section: Algorithm 2 Best Fit Algorithmmentioning

confidence: 99%

Bin packing algorithms for virtual machine placement in cloud computing: a review

Kumaraswamy¹,

Nair

2019

IJECE

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<p>Cloud computing has become more commercial and familiar. The Cloud data centers havhuge challenges to maintain QoS and keep the Cloud performance high. The placing of virtual machines among physical machines in Cloud is signiﬁcant in optimizing Cloud performance. Bin packing based algorithms are most used concept to achieve virtual machine placement(VMP). This paper presents a rigorous survey and comparisons of the bin packing based VMP methods for the Cloud computing environment. Various methods are discussed and the VM placement factors in each methods are analyzed to understand the advantages and drawbacks of each method. The scope of future research and studies are also highlighted.</p>

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Section: Algorithm 2 Best Fit Algorithmmentioning

confidence: 99%

Bin packing algorithms for virtual machine placement in cloud computing: a review

Kumaraswamy¹,

Nair

2019

IJECE

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“…It achieves up to 50% reduction in the number of active physical machines, up to 26% reduction in job delay as well as up to 50% flows migrating to the same pods, when compared to baseline methods. This research work has been summarized and published in [10].…”

Section: Discussionmentioning

confidence: 99%

“…Inner pod flow percentage for N=4 fat tree[10] . We present results for four schemes, namely, Random, Power efficient-First fit, Random Migration and Power efficient-First fit Migration.…”

mentioning

confidence: 99%

“…Thus, fewer core switches are needed in these schemes. The lack of data inFigure 8.5 at 600s and 700s is due to job completion in case of power-efficient Inner pod flow percentage for N=8 fat tree[10]…”

mentioning

confidence: 99%

“…It attempts to use fewer PMs and schedule VMs to migrate when necessary. The research work presented in this chapter has been published in[10].…”

mentioning

confidence: 99%

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