Open AccessReducing Cloud Storage Space Consumption using PRCR
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a1058.1191s19
Subject(s) - cloud storage , reliability (semiconductor) , replica , cloud computing , computer science , replication (statistics) , data reliability , reliability engineering , computer data storage , distributed computing , reduction (mathematics) , distributed data store , database , engineering , operating system , art , power (physics) , statistics , physics , geometry , mathematics , quantum mechanics , visual arts
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