DocumentCode :
2807624
Title :
Research on Service Usage Pattern Mining Method in the Distributed Context
Author :
Zhu Hong-Kang ; Yu Xue-li
Author_Institution :
Sch. of Comput. Sci.& Software Eng., TaiYuan Univ. of Technol., Taiyuan, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Composite service selection is a research difficulties in service-oriented computing domain. Most selection approaches are based on service QoS information which is difficult to acquire accurately. In this paper, a distributed Web service usage pattern mining infrastructure based on services execution information is proposed. In order to meet the cross-organizational associated business requirement, a service registry federation mechanism is presented. Then, a distributed algorithm of composite service frequent sequential mining within registry federation is described. In the end, some simulation results are demonstrated to show the effectiveness of the proposed method.
Keywords :
Web services; data mining; distributed algorithms; distributed Web service; distributed algorithm; frequent sequential mining; pattern mining method; service registry federation mechanism; service usage infrastructure; services execution information; Association rules; Computer science; Context-aware services; Data mining; Distributed computing; Distributed databases; Libraries; Software engineering; Web and internet services; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5362808
Filename :
5362808
Link To Document :
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