Skewness Based Dynamic Resource Allocation in Cloud using Heterogeneous
T. Senthil Murugan1, N. Vijayaraj2
1Dr.T. Senthil Murugan, Associate Professor, School of Computing, Department of Computer Science & Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science & Technology, Avadi, Chennai (Tamil Nadu), India.
2N. Vijayaraj, Research Scholar, School of Computing, Department of Computer Science & Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science & Technology, Avadi, Chennai (Tamil Nadu), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1449-1455 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5640058719/19©BEIESP
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© 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: Cloud computing enables the empowers professional clients to scale over the resource utilization dependent on cloud user requirements. Virtualization techniques are necessary for cloud environment to multiplexing the cloud resources. Here, virtualization techniques are used to allocate the cloud resources dynamically based on cloud user requirements. This paper consider green computing techniques has used for improving the quantity of servers. This paper considers the term” skewness” to improving the quality of service for server based on findings roughness with several dimensional strengths. Here we propose an algorithm names as Resource allocation using virtual machine with heterogeneous techniques. This algorithm helps to allocate the resources efficiently to the cloud users based on their needs. The results of this algorithm has compared with existing algorithm like skewness-avoidance multi-resource allocation (SAMR). Finally, this algorithm improved 67% of results in view of CPU utilization and 47% reducing memory consumption.
Keyword: Skewness, Resource, Heterogeneous, Migration.
Scope of the Article: Cloud Computing.