Auto-Scalability in Cloud: A Surveyof Energy and Sla Efficient Virtual Machine Consolidation
|International Journal of Computer Science and Engineering|
|© 2016 by SSRG - IJCSE Journal|
|Volume 3 Issue 11|
|Year of Publication : 2016|
|Authors : A.Richard William, Dr.J.Senthilkumar|
How to Cite?
A.Richard William, Dr.J.Senthilkumar, "Auto-Scalability in Cloud: A Surveyof Energy and Sla Efficient Virtual Machine Consolidation," SSRG International Journal of Computer Science and Engineering , vol. 3, no. 11, pp. 7-11, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I11P102
In cloud computing, the modern cloud data centers are hosting a variety of advanced applications and the IT infrastructure over the recent years because of the demand for computational power infrastructure which are widely used by some of the applications increasing rapidly. Due to the enormous amount of electrical energy consumed by the huge cloud data centers, the operating cost and the emission of carbon dioxide (Co2) produces the high value as a result. In order to reduce the energy consumption and to increase the physical resource utilization in data centers, the most effective way used is a dynamic consolidation of virtual machines (VMs). The main purpose of this paper is to provide a novel method which is used in dynamic virtual machine consolidation. This proposed novel method has outperformed the existing policies in terms of energy consumption, SLA violation and VM migration time by surveying the determination of under loaded hosts, determination of overloaded hosts, and selection of VM and placement of the migrating VMs
cloud computing, consolidation, energy consumption, SLA violation
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