DocumentCode :
2427675
Title :
Workflow Similarity Measure for Process Clustering in Grid
Author :
Wang, Yi ; Li, Minglu ; Cao, Jian ; Lin, Xinhua ; Tang, Feilong
Author_Institution :
Shanghai Jiao Tong Univ., Shanghai
Volume :
4
fYear :
2007
fDate :
24-27 Aug. 2007
Firstpage :
629
Lastpage :
635
Abstract :
In grid environment, workflow process can be seen as not only cooperative approach of grid services and resources, but also reusable and sharable knowledge to settle specific problem. The research of grid workflow process clustering can promote knowledge discovery and reuse in grid. In this paper, we put forward a grid workflow process design method using event-condition-action (ECA) rule, and propose a new process similarity measure approach. Then, we use a case to prove the feasibility of the approach and show how to revise present clustering algorithm with the similarity measure approach briefly.
Keywords :
data mining; grid computing; pattern clustering; event-condition-action rule; grid resources; grid services; grid workflow process clustering; knowledge discovery; workflow similarity measure; Atomic measurements; Clustering algorithms; Computer science; Databases; Knowledge engineering; Merging; Ontologies; Pattern analysis; Process design; Workflow management software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
Type :
conf
DOI :
10.1109/FSKD.2007.618
Filename :
4406463
Link To Document :
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