Reducing Cloud Storage Space Consumption using PRCR
L Raji1, S.Thanga Ramya2, A.Thilagavathy3
1L. Raji, Department of Computer Science and Engineering, R.M.K. Engineering College, Kavaraipettai (Tamil Nadu), India.
2S. Thanga Ramya, Department of Information Technology, R.M.D. Engineering College, Kavaraipettai (Tamil Nadu), India.
3A. Thilagavathy, Department of Computer Science and Engineering, R.M.K. Engineering College, Kavaraipettai (Tamil Nadu), India.
Manuscript received on 24 November 2019 | Revised Manuscript received on 05 December 2019 | Manuscript Published on 14 December 2019 | PP: 287-289 | Volume-9 Issue-1S November 2019 | Retrieval Number: A10581191S19/2019©BEIESP | DOI: 10.35940/ijitee.A1058.1191S19
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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: Data reliability constantly exists to be the important concern in dealing with the storage of data in distributed environment. For data reliability to be guaranteed, the replication approaches commonly used are in need of large amount of storage space which in turn leads to heavy cost for storage. The utmost need in data reliability requirement is the reduction of cloud storage space, In this paper, a comprehensive data reliability strategy is proposed so as to minimize the storage needed in the cloud and at the same time fulfilling the requirement of data reliability. The proposed model is based on Proactive Replica Checking for Reliability (PRCR ) technique. The proposed method needs only a less amount of replication for ensuring data reliability which in turn leads to a more cost effective approach. Our proposed method also reduces the consumption of storage of data on the cloud.
Keywords: Cloud Storage, Data Reliability, Replication, PRCR.
Scope of the Article: Innovative Sensing Cloud and Systems