文章基本信息

标题：Energy Efficient Cloud Computing Vm Placement Based On Genetic Algorithm
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作者：Pooja Daharwal ; Dr. Varsha Sharma
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2017
卷号：44
期号：1
页码：15-23
DOI：10.14445/22312803/IJCTT-V44P103
出版社：Seventh Sense Research Group
摘要：In the age of large data and the large number of users around the world, cloud computing has emerged as a new era of computing. Cloud consists of a datacenter which in turn consists of several physical machines. Each machine is shared by many users and virtual machines are used to use these physical machines. With a large number of datacenters and each datacenter having a large number of physical machines. The VM allocation becomes an NPHard problem. Thus, the VM allocation, the VM migration becomes a trivial task. In this article, a survey is carried out on cloud computing in energy cloud, based on scalable algorithms. To solve NPHard problems, there are two ways to either give an exact solution or to provide an approximation. The approximate solution is a timeefficient approach for solving NPhard problems. In this research work, a survey on method for energy efficiency in cloud computing is carried out. The optimization of genetic algorithms has been studied in this research. And the genetic algorithm based VM placement algorithm is implemented for the energy efficiency of cloud operation.
关键词：Data centre; Energy Consumption; Genetic Algorithm; Virtualization; Virtual Machine (VMs); VM Placement; Cloud Computing