Performance improvement of cloud storage using a genetic algorithm based placement

Abstract

Cloud storage is a massive and public accessible storage available for use on internet. Since the number of users and data access request will be massive, a good performance improvement algorithm is needed. In this work, a technique of using a smart object placement is presented. The model for cloud storage and object placement are discussed. Then, genetic algorithm is used to optimize the placement function to gain a better average access speed for any storage object. The experimental results show an obvious performance increases due to a better object placement. The result of this work can be applied to enhance performance of both private and public storage cloud.