2009CiiT international journal of networking and communication engineeringRequires access

Survey on Data Replication in Grid Environment

K. Sashi, Antony Selvadoss Thanamani

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Abstract

Data Grid deals with data intensive applications in scientific and enterprise computing. These applications handle large data sets that need to be transferred and replicated among different grid sites. Data replication is an important technique for data availability and data access. Data should be replicated in an automatic way to make the system more reliable, accessible and less sensitive to subsystem failures. Replication allows faster access to files and increases the job execution performance. This paper provides a survey on various replication algorithms, some of its merits and demerits.

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What this paper is about

Data Grid deals with data intensive applications in scientific and enterprise computing. These applications handle large data sets that need to be transferred and replicated among different grid sites. Data replication is an important technique for data availability and data access. Data should be replicated in an automatic way to make the system more reliable, accessible and less sensitive to subsystem failures. Replication allows faster access to files and increases the job execution performance. This paper provides a survey on various replication algorithms, some of its merits and demerits.

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Available abstract

Data Grid deals with data intensive applications in scientific and enterprise computing. These applications handle large data sets that need to be transferred and replicated among different grid sites. Data replication is an important technique for data availability and data access. Data should be replicated in an automatic way to make the system more reliable, accessible and less sensitive to subsystem failures. Replication allows faster access to files and increases the job execution performance. This paper provides a survey on various replication algorithms, some of its merits and demerits.

Key concepts: Computer science, Replication (statistics), Data grid, Grid, Grid computing, Distributed computing, Data access, Database

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