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Secure Data Replication Management Scheme with Better Data Accessibility
M. B. Jayalekshmi1, S.H. Krishnaveni2

1M. B. Jayalekshmi, Research Scholar, Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, India.
2Dr. S.H. Krishnaveni, Associate Professor, Department of Computer Science and Engineering, Baselios Mathews II College of Engineering, Kollam, India.

Manuscript received on September 15, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 4484-4488 | Volume-8 Issue-12, October 2019. | Retrieval Number: L35171081219/2019©BEIESP | DOI: 10.35940/ijitee.L3517.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Cloud computing technology has gained substantial research interest, due to its remarkable range of services. The major concerns of cloud computing are availability and security. Several security algorithms are presented in the literature for achieving better security and the data availability is increased by utilizing data replicas. However, creation of replicas for all the data is unnecessary and consumes more storage space. Considering this issue, this article presents a Secure Data Replication Management Scheme (SDRMS), which creates replicas by considering the access frequency of the data and the replicas are loaded onto the cloud server by considering the current load of it. This idea balances the load of the cloud server. All the replicas are organized in a tree like structure and the replicas with maximum hit ratio are placed on the first level of the tree to ensure better data accessibility. The performance of the work is satisfactory in terms of data accessibility, storage exploitation, replica allocation and retrieval time.
Keywords: Cloud Computing, Cloud Data Availability, Data Replica, Data Organization.
Scope of the Article: Cloud computing