An optimal sanitization algorithm based secure migration of virtual machines in cloud datacenters

Abstract

Cloud is a dominant player in information technology in recent years. In order to meet the increasing demand of computing and storage resources, infrastructure cloud providers are deploying planet scale data centers across the world. These data centers consists stupendous number of servers. These data centers incur very high investments in operational cost, maintenance cost and networking facilities. Because of the huge energy usage, such data centers leave large amount of carbon footprints and thus have adverse effects on the environment. As a result maximum resource utilization and energy consumption are becoming crucial issues to make cloud computing more successful. Intelligent virtual machine migration and consolidation are the primary means to address these issues. However during migration the system integrity and confidentiality of data may be affected. In order to overcome the security issues, this paper proposes a security aware virtual machine migration method. An optimal cryptography algorithm is proposed. This is a combination of sanitization algorithm and orthogonal learning particle swarm optimization (OLPSO) algorithm. This algorithm is used to generate the key and to increase the confidentiality of the migrated data. The performance of the proposed methodology is analyzed and compared in terms of different evaluation metrics.