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An Innovative Replica Consistency Model in Data Grids

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2 Author(s)
Jih-Sheng Chang ; Dept. of Comput. Sci. & Inf. Eng., Nat. Dong Hwa Univ., Hualien ; Ruay-Shiung Chang

In data grids, replication is a critical technology aiming at lowering the access delay as well as saving network bandwidth by duplicating original data in a distributed manner. For data-intensive applications with read/write files, replica consistency is an important issue. In this paper, we propose a novel replica consistency decision model with high adaptability and flexibility using the naive Bayesian classifier in order to improve the system performance in data grids. A system prototype has been implemented. The experimental results also prove the excellence of the proposed model.

Published in:

Parallel and Distributed Processing with Applications, 2008. ISPA '08. International Symposium on

Date of Conference:

10-12 Dec. 2008