Data grid has been developed to provide a scalable
infrastructure for managing and storing data files and support data
intensive applications. However, managing the huge and widely
distributed data has raised some issues such as data consistency,
data availability and communication costs. To address the issues,
one of the commonly used techniques is data replication which can
provide high availability and increase the performance of the
system. Many replica control protocols have been proposed in
distributed database and grid which achieved both high performance
and availability. However, most of the previously proposed
protocols perform well in small size systems and have a small
number of replicas. As the network size grows, a larger number of
replicas are required to be accessed in order to maintain data
consistency, which is not suitable for a large scale system such as
data grid. Thus, in this paper, we propose a new replica control
protocol named Cluster-Based Replication (CBR) protocol for
managing the data in data grid. We analyze the communication cost
of the operations and compare CBR protocol with previously
proposed tree-based replica control protocols namely Logarithmic
protocol and Dynamic Hybrid protocol. A simulation model was
developed using Java to evaluate CBR protocol. Our results show
that for the read and write operations, CBR provides lower
communication cost as well as maintains data consistency.
Real Time Impact Factor:
Pending
Author Name: Zulaile Mabni , Rohaya Latip1 , Hamidah Ibrahim, Azizol Abdullah
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Keywords: Data Grid, data replication, data availability, communication cost.
ISSN:
EISSN: 2320-2602
EOI/DOI:
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