Authors: S. Kirthica; H. Sabireen; Rajeswari Sridhar
Addresses: Department of Computer Science and Engineering, Anna University, Chennai, India ' Department of Computer Science and Engineering, Anna University, Chennai, India ' Department of Computer Science and Engineering, Anna University, Chennai, India
Abstract: With the recent emergence of multi-cloud environments, it has become crucial to manage data in them. This work proposes a data archival scheme which initially picks optimal clouds from a multi-cloud environment based on the data access patterns. The voluminous data obtained is then split into chunks and their access frequency is efficiently predicted. Depending on the prediction, suitable clouds are picked based on QoS attributes and weighted threshold coefficient. Further, the data is placed into the selected clouds by checking their resource availability. Data retention policies are proposed and applied to the data along with homomorphic encryption to provide security and to place the highest priority data into the appropriate cloud. The least frequently accessed data are also archived in suitable clouds. Results obtained in a heterogeneous cloud environment indicate the cost effectiveness of storing huge data in a multicloud environment to provide the best of services.
Keywords: cloud computing; data management; multi-cloud; cloud inter-operation.
International Journal of Big Data Intelligence, 2019 Vol.6 No.2, pp.129 - 139
Received: 16 Sep 2017
Accepted: 31 Mar 2018
Published online: 09 Apr 2019 *