2013Journal of Sichuan UniversityRequires access

An access-tendency based dynamic replica creation strategy for data grid

Yang Da

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Abstract

Current hot data select in replica creation strategies didn't react to data mutation and resulting in replicas create and delete frequently and then caused grid thrashing.According to this,an accesstendency based dynamic replica creation strategy(ADRS)is proposed.ADRS calculate file's accesstendency based on historical data access,and then according to file's access-tendency create or delete replica.The simulation results show that ADRS can reduce the replica create times and increase replica usage rate for random access pattern compared to Latest-access-largest-weight algorithm(LALW)and didn't affect the efficiency when node's space is limited.

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What this paper is about

Current hot data select in replica creation strategies didn't react to data mutation and resulting in replicas create and delete frequently and then caused grid thrashing.According to this,an accesstendency based dynamic replica creation strategy(ADRS)is proposed.ADRS calculate file's accesstendency based on historical data access,and then according to file's access-tendency create or delete replica.The simulation results show that ADRS can reduce the replica create times and increase replica usage rate for random access pattern compared to Latest-access-largest-weight algorithm(LALW)and didn't affect the efficiency when node's space is limited.

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Available abstract

Current hot data select in replica creation strategies didn't react to data mutation and resulting in replicas create and delete frequently and then caused grid thrashing.According to this,an accesstendency based dynamic replica creation strategy(ADRS)is proposed.ADRS calculate file's accesstendency based on historical data access,and then according to file's access-tendency create or delete replica.The simulation results show that ADRS can reduce the replica create times and increase replica usage rate for random access pattern compared to Latest-access-largest-weight algorithm(LALW)and didn't affect the efficiency when node's space is limited.

Key concepts: Replica, Computer science, Thrashing, Data access, Data grid, Grid, Random access, Node (physics)

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