Self-adaptive Resource Allocation using Feedback and Ranking in Cloud Computing by Crawler

Authors

  • Kishan M. Patel Student Computer Science & Engineering Department, Parul Institute of Engineering and Technology
  • Asst. Prof. Mohammed Husain Bohara Computer Science & Engineering Department, Parul Institute of Engineering and Technology

Keywords:

resource allocation; virtual machine allocation; ranking; cloud computing; adaptive; crawler

Abstract

Cloud computing is hot cake nowadays and primary factor of cloud computing is virtualization. It deals with on demand dynamic
resource allocation for providing reliable and guaranteed services to the consumer. It is based on pay-as-you-use model to public.
The tasks of resource allocation are meeting customer demands and application requirements. To get more efficient resources
from cloud environment, it required feedback system which provides information of best resources. This report described a new
methodology for finding the best resources from the cloud. Proposed approach will get maximum utilization of resource using
feedback. Every resources (VMs) have its log of usage and wastage and this log file is consider as feedback. In the proposed
approach, the crawler is crawled for log file of all available resources, analyzed log files and discovered the best resource by
analyzed log files (feedback) and rank of those resources.

Downloads

Published

2015-04-25

How to Cite

Kishan M. Patel, & Asst. Prof. Mohammed Husain Bohara. (2015). Self-adaptive Resource Allocation using Feedback and Ranking in Cloud Computing by Crawler. International Journal of Advance Research in Engineering, Science & Technology, 2(4), 62–65. Retrieved from https://ijarest.org/index.php/ijarest/article/view/44

Issue

Vol. 2 No. 4 (2015): Volume: 02, Issue: 04 - April, 2015.

Section

Articles