Self-adaptive Resource Allocation using Feedback and Ranking in Cloud Computing by Crawler
Student Computer Science & Engineering Department, Parul Institute of Engineering and Technology, India
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.
