Mining association rules on grid platforms

Authors:
Raja Tlili;Yahya Slimani
Affiliations:
Department of Computer Science, Faculty of Sciences of Tunisia, Tunis, Tunisia;Department of Computer Science, Faculty of Sciences of Tunisia, Tunis, Tunisia
Venue:
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing
Year:
2011

Citing 6
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Abstract

In this paper we propose a dynamic load balancing strategy to enhance the performance of parallel association rule mining algorithms in the context of a Grid computing environment. This strategy is built upon a distributed model which necessitates small overheads in the communication costs for load updates and for both data and work transfers. It also supports the heterogeneity of the system and it is fault tolerant.