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Ensuring Cloud Data Reliability with Minimum Replication by Proactive Replica Checking

delete2016-05-01
delete37
PRE
AI
W
Wenhao Li *
Y
Yun Yang *
D
Dong Yuan *
DOI:10.1109/TC.2015.2451644delete
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Abstract

Abstract

En 中文
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.
Keywords:
Minimum data replication
proactive replica checking
data reliability
cost-effective storage
cloud computing
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Journal

IEEE Transactions on Computers cover
IEEE Transactions on Computers
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University of Sydney
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shandong university
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anhui university
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