Adaptable Replica Consistency Service for Data Grids
Ruay-Shiung Chang, Jih‐Sheng Chang
Abstract
Ruay-Shiung Chang, Jih‐Sheng Chang
Abstract
In this paper, we focus our attentions on the replica consistency problems in Data Grids. An innovative and effective architecture called Adaptable Replica Consistency Service (ARCS) with the capability of dealing with the replica consistency is proposed. It can increase the performances and achieve load balancing for file replications in Data Grids. The model and experimental simulations are presented and evaluated by means of OptorSim as compared with the other two proposed coherence protocols. ARCS is superior to them as well as being suitable for the Data Grids environments according to our simulations results.
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In this paper, we focus our attentions on the replica consistency problems in Data Grids. An innovative and effective architecture called Adaptable Replica Consistency Service (ARCS) with the capability of dealing with the replica consistency is proposed. It can increase the performances and achieve load balancing for file replications in Data Grids. The model and experimental simulations are presented and evaluated by means of OptorSim as compared with the other two proposed coherence protocols. ARCS is superior to them as well as being suitable for the Data Grids environments according to our simulations results.
Key concepts: Replica, Computer science, Consistency (knowledge bases), Consistency model, Distributed computing, Data consistency, Cache coherence, Focus (optics)