A data replica replacement algorithm based on value model in mobile grid environments

Author(s):  
Xiaodong Yan ◽  
Huimin Xu ◽  
Yajing Xu ◽  
Lianxi Liu
Fuzzy Systems ◽  
2017 ◽  
pp. 516-539
Author(s):  
Nazanin Saadat ◽  
Amir Masoud Rahmani

One of the challenges of data grid is to access widely distributed data fast and efficiently and providing maximum data availability with minimum latency. Data replication is an efficient way used to address this challenge by replicating and storing replicas, making it possible to access similar data in different locations of the data grid and can shorten the time of getting the files. However, as the number and storage size of grid sites is limited and restricted, an optimized and effective replacement algorithm is needed to improve the efficiency of replication. In this paper, the authors propose a novel two-level replacement algorithm which uses Fuzzy Replica Preserving Value Evaluator System (FRPVES) for evaluating the value of each replica. The algorithm was tested using a grid simulator, OptorSim developed by European Data Grid projects. Results from simulation procedure show that the authors' proposed algorithm has better performance in comparison with other algorithms in terms of job execution time, total number of replications and effective network usage.


Author(s):  
Sangyoon Oh ◽  
Sangmi Lee Pallickara ◽  
Sunghoon Ko ◽  
Jai-Hoon Kim ◽  
Geoffrey Fox

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