Title :
Dynamic load balancing of large-scale distributed association rule mining
Author :
Tlili, Raja ; Slimani, Yahya
Author_Institution :
Dept. of Comput. Sci., Fac. of Sci. of Tunis, El- Manar, Tunisia
Abstract :
The focus of this paper is to propose a dynamic load balancing strategy for 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.
Keywords :
data mining; grid computing; parallel processing; resource allocation; communication costs; data transfers; distributed model; dynamic load balancing strategy; fault tolerant; grid computing environment; large-scale distributed association rule mining; load updates; parallel association rule mining algorithms; system heterogeneity; work transfers; Association rules; Heuristic algorithms; Itemsets; Load management; Silicon; Association rules; Dynamic load balancing; Grid computing; Parallel association mining; Performance;
Conference_Titel :
Computer Applications and Industrial Electronics (ICCAIE), 2011 IEEE International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-2058-1
DOI :
10.1109/ICCAIE.2011.6162196
