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