Evaluation of an economy-based file replication strategy for a data grid

Author(s):  
W.H. Bell ◽  
D.G. Cameron ◽  
R. Carvajal-Schiaffino ◽  
A.P. Millar ◽  
K. Stockinger ◽  
...  
Author(s):  
ChenHan Liao ◽  
Na Helian ◽  
Sining Wu ◽  
Mamunur M. Rashid

Most replication methods either monitor the popularity of files or use complicated functions to calculate the overall cost of whether or not a replication decision or a deletion decision should be issued. However, once the replication decision is issued, the popularity of the files is changed and may have already impacted access latency and resource usage. This article proposes a decision-tree-based predictive file replication strategy that forecasts files’ future popularity based on their characteristics on the Grids. The proposed strategy has shown superb performance in terms of mean job time and effective network usage compared with the other two replication strategies, LRU and Economic under OptorSim simulation environment.


2010 ◽  
Vol 2 (1) ◽  
pp. 69-86 ◽  
Author(s):  
ChenHan Liao ◽  
Na Helian ◽  
Sining Wu ◽  
Mamunur M. Rashid

Most replication methods either monitor the popularity of files or use complicated functions to calculate the overall cost of whether or not a replication decision or a deletion decision should be issued. However, once the replication decision is issued, the popularity of the files is changed and may have already impacted access latency and resource usage. This article proposes a decision-tree-based predictive file replication strategy that forecasts files’ future popularity based on their characteristics on the Grids. The proposed strategy has shown superb performance in terms of mean job time and effective network usage compared with the other two replication strategies, LRU and Economic under OptorSim simulation environment.


2011 ◽  
Vol 34 (2) ◽  
pp. 575-580 ◽  
Author(s):  
Mohammad Bsoul ◽  
Ahmad Al-Khasawneh ◽  
Emad Eddien Abdallah ◽  
Yousef Kilani

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