Performance evaluation of a probabilistic replica selection algorithm

2003 ◽  
Author(s):  
S. Krishnamurthy ◽  
W.H. Sanders ◽  
M. Cukier
Keyword(s):  
Performance Evaluation ◽  
Selection Algorithm ◽  
Replica Selection

A Replica Selection Algorithm in Data Grid

2013 ◽  
Vol 13 (1) ◽  
pp. 32-41
Author(s):  
Lu Zou ◽  
Tinghuai Ma ◽  
Jianzhong Yang
Keyword(s):  
Data Grid ◽  
Selection Algorithm ◽  
Replica Selection

Efficient Management of Fragmented Replica in Data Grids

2012 ◽  
Vol 4 (2) ◽  
pp. 63-70 ◽  
Author(s):  
Chao-Chin Wu ◽  
Lien-Fu Lai ◽  
Jia-Xian Lai
Keyword(s):  
Optimal Solution ◽  
Selection Algorithm ◽  
Data Grids ◽  
Server Selection ◽  
Efficient Management ◽  
Replica Selection ◽  
Retrieval Efficiency ◽  
Simulation Results ◽  
Replication Technique ◽  
Selection Algorithms

Rather than replicating a file completely, Chang et al. proposed a fragmented replication technique to cope with the problem that only partial content of the replica are required in a local application. Furthermore, they also proposed two server selection algorithms for replica retrieval. However, their algorithms do not always find an optimal solution. To address the problem, in this paper, the authors propose a replica selection algorithm to improve the fragmented replica retrieval efficiency in this paper. It is a heuristic considering not only the transmission time but also the number of available servers for each block. Simulation results show that the proposed algorithm can improve the retrieval efficiency up to 12%.

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