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VM Placement Algorithms for Hierarchical Cloud Infrastructure

Authors: Md. Humayun Kabir; Gholamali C. Shoja; Sudhakar Ganti;

VM Placement Algorithms for Hierarchical Cloud Infrastructure

Abstract

A hierarchical cloud infrastructure involving cloud, cluster, and node controllers is the most preferred deployment architecture by the cloud providers since it helps them to achieve the desired scalability and geographical distribution. In this architecture, the cloud controller indirectly controls a large number of node controllers through a few cluster controllers. A Virtual Machine (VM) placement algorithm, therefore, should provide for intelligent cluster selection before node selection. To the best of our knowledge, there is no VM placement algorithm available that has addressed this issue. In this paper, we propose a new VM placement algorithm that intelligently selects the appropriate cluster, and then a node inside the cluster. We use multi-criteria-decision-analysis (MCDA) technique for this purpose. Simulation results have confirmed the superior performance of our algorithm.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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