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Performance improvement of cloud storage using a genetic algorithm based placement

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2 Author(s)
Kanatorn Jindarak ; HPCNC, Department of Computer Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand ; Putchong Uthayopas

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.

Published in:

Computer Science and Software Engineering (JCSSE), 2011 Eighth International Joint Conference on

Date of Conference:

11-13 May 2011