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Resource and Energy Efficient Virtual Machine Migration in Cloud Data Centers

Resource and Energy Efficient Virtual Machine Migration in Cloud Data Centers
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Author(s): Subrat Kumar Dhal (National Institute of Technology Rourkela, India), Harshit Verma (National Institute of Technology Rourkela, India)and Sourav Kanti Addya (National Institute of Technology Rourkela, India)
Copyright: 2017
Pages: 29
Source title: Resource Management and Efficiency in Cloud Computing Environments
Source Author(s)/Editor(s): Ashok Kumar Turuk (National Institute of Technology Rourkela, India), Bibhudatta Sahoo (National Institute of Technology Rourkela, India)and Sourav Kanti Addya (National Institute of Technology Rourkela, India)
DOI: 10.4018/978-1-5225-1721-4.ch009

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Abstract

Cloud computing service has been on the rise over the past few decades, which has led to an increase in the number of data centers, thus consuming more amount of energy for their operation. Moreover, the energy consumption in the cloud is proportional to the resource utilization. Thus consolidation schemes for the cloud model need to be devised to minimize energy by decreasing the operating costs. The consolidation problem is NP-complete, which requires heuristic techniques to get a sub-optimal solution. The authors have proposed a new consolidation scheme for the virtual machines (VMs) by improving the host overload detection phase. The resulting scheme is effective in reducing the energy and the level of Service Level Agreement (SLA) violations both, to a considerable extent. For testing the performance of implementation, a simulation environment is needed that can provide an environment of the actual cloud computing components. The authors have used CloudSim 3.0.3 simulation toolkit that allows testing and analyzing Allocation and Selection algorithms.

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