PROJECT TITLE :

Ensuring Cloud Data Reliability with Minimum Replication by Proactive Replica Checking

ABSTRACT:

Information reliability and storage costs are two primary issues for current Cloud storage systems. To make sure information reliability, the widely used multi-replica (usually 3) replication strategy in current Clouds incurs a huge extra storage consumption, resulting in a very huge storage price for information-intensive applications within the Cloud in explicit. In order to cut back the Cloud storage consumption whereas meeting the information reliability requirement, during this paper we gift a cost-effective information reliability management mechanism named PRCR primarily based on a generalized knowledge reliability model. By using a proactive reproduction checking approach, whereas the running overhead for PRCR is negligible, PRCR ensures reliability of the large Cloud data with the minimum replication, which will conjointly function a value effectiveness benchmark for replication based mostly approaches. Our simulation indicates that, compared with the conventional three-duplicate strategy, PRCR can reduce from one-third to 2-thirds of the Cloud storage space consumption, hence considerably lowering the storage cost in a very Cloud.


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