Ensuring cloud data reliability with minimum replication by proactive replica checking

Date

2016

Authors

Li, W.
Yang, Y.
Yuan, D.

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Journal article

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IEEE transactions on computers, 2016; 65(5):1494-1506

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Data reliability and storage costs are two primary concerns for current cloud storage systems. To ensure data reliability, the widely used multi-replica (typically three) replication strategy in current clouds incurs a huge extra storage consumption, resulting in a huge storage cost for data-intensive applications in the Cloud in particular. In order to reduce the Cloud storage consumption while meeting the data reliability requirement, in this paper we present a cost-effective data reliability management mechanism named PRCR based on a generalized data reliability model. By using a proactive replica checking approach, while the running overhead for PRCR is negligible, PRCR ensures reliability of the massive cloud data with the minimum replication, which can also serve as a cost effectiveness benchmark for replication based approaches. Our simulation indicates that, compared with the conventional three-replica strategy, PRCR can reduce from one-third to two-thirds of the cloud storage space consumption, hence significantly lowering the storage cost in a cloud.

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Link to a related website: https://researchbank.swinburne.edu.au/file/c9c69545-46b3-4b56-9395-119fabb1a0f2/1/PDF (Accepted manuscript).pdf, Open Access via Unpaywall

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Copyright 2015 IEEE Computer Society

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