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A Data Replica Replacement Algorithm Based on Value Model

Xiaodong Yan, XU Hui-min

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Abstract

Adapting to the high variation environment in data grid,a data replica replacement algorithm based on value model is proposed and the arithmetic to calculate replica value is introduced.The algorithm is used on data replica replacement.When there is not enough storage space during replication,the replica whose value is the least will be deleted.This algorithm can improve and maintain a high overall throughput of grid jobs that access files in a data grid.Experimental results show that the proposed algorithm can obtain better performance for grid task to access data replica.

About this research paper

What this paper is about

Adapting to the high variation environment in data grid,a data replica replacement algorithm based on value model is proposed and the arithmetic to calculate replica value is introduced.The algorithm is used on data replica replacement.When there is not enough storage space during replication,the replica whose value is the least will be deleted.This algorithm can improve and maintain a high overall throughput of grid jobs that access files in a data grid.Experimental results show that the proposed algorithm can obtain better performance for grid task to access data replica.

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Available abstract

Adapting to the high variation environment in data grid,a data replica replacement algorithm based on value model is proposed and the arithmetic to calculate replica value is introduced.The algorithm is used on data replica replacement.When there is not enough storage space during replication,the replica whose value is the least will be deleted.This algorithm can improve and maintain a high overall throughput of grid jobs that access files in a data grid.Experimental results show that the proposed algorithm can obtain better performance for grid task to access data replica.

Key concepts: Replica, Data grid, Computer science, Grid, Replication (statistics), Grid computing, Task (project management), Throughput

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