Enhanced Storage Management Optimization in IaaS Cloud Environment

Abstract

Cloud computing is unavoidable significant development that utilizes progressive related to IaaS. The storage is increasing day by day due to upgrades in data distribution and data storing in IaaS services. Having lot of benefit of cloud such as scalability, accessibility, cost saving, almost all industry is interested in shifting their data to cloud storage. With this IaaS services, it is essential to know the biggest challenge related to the data storage management capabilities and also distribution across numerous customer. This also has impact on performance and user experience related to the bandwidth utilization. In this paper the proposed Storage Management Optimization (SMO) eliminates duplicate data to save storage space and increase bandwidth utilization with respect to storage speed of network. The well-structured metadata is used to identify duplication on the corresponding data elements. Evaluation of a metadata prototype helps to analyze the file access patterns of user and to determine the future access prediction in terms of frequent accessibility ranking system. The SMO system generates a dashboard having details related to application data files and access details. Implementation using the proposed system SMO in simulation platform can show space optimization upto 11.85% than the normal system and bandwidth increases with respect to accessibility at the rate almost 84%.