Virtual Machines Overloaded in Cloud Computing using Fuzzy Logic Algorithm |
Author(s): |
| G. Sukanya , Rajah Serfoji Government College (Autonomous), Thanjavur; Dr. M Chidambaram, Rajah Serfoji Government College (Autonomous), Thanjavur |
Keywords: |
| Data Centers, Virtual Machine Scheduling, Resource Allocation |
Abstract |
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In both static and dynamic provisioning, Virtual Machine sizing is perhaps the most vital step. Typically, efficient provisioning is achieved by two operations: (1) static resource provisioning. VMs are created with specified size and then consolidated onto a set of physical servers. The Virtual Machine capacity does not change; and (2) dynamic resource provisioning. The objective of Virtual Machine sizing is to ensure that Virtual Machine capacity is commensurate with the workload. While over-provisioning wastes costly resources, under-provisioning degrades application performance and may lose customers. We introduce the concept of “fuzzy assessment†s to measure the uneven utilization of a server. By analyzing risk assessment, we can improve the overall utilization servers in the face of multidimensional resource constraints. |
Other Details |
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Paper ID: IJSRDV5I60313 Published in: Volume : 5, Issue : 6 Publication Date: 01/09/2017 Page(s): 290-294 |
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