A Multi-Objective Genetic Algorithm for Virtual Machine Placement in Cloud Computing
Avinash Kumar Sharma1, Nitin2
1Avinash Kumar Sharma, Computer Science & Engineering, Uttarakhand Technical University/,Dehradun, India.
2Dr. Nitin, Information Systems, Indian Institute of Management, Shillong, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 231-235 | Volume-8 Issue-8, June 2019 | Retrieval Number: G6322058719/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Virtual machine placement is a task of planning the optimal map of virtual machines to physical machines. With help of optimal allocation of virtual machines, there is a chance of lowering the power consumption and reduce ineffective use of resources at the same time it is necessary in cloud environment to maintain the desired Quality of service in a cloud-computing environment. This paper, proposes the solution to the multi-objective problem of virtual machines mapping. The objective of the algorithm is to reduce the wastage of resources and reduced power consumption and this is constrained to parameter that the total bandwidth required by the application should not be disturbed. The proposed solution based on NSGA III was found to give better performance than MGGA.
Keyword: Cloud computing, Cloud Security, Virtual Machine
Scope of the Article: Cloud Computing