DocumentCode :
2424565
Title :
Weighted fuzzy clustering for capability-driven service aggregation
Author :
Dorn, Christoph ; Dustdar, Schahram
Author_Institution :
Distrib. Syst. Group, Vienna Univ. of Technol., Vienna, Austria
fYear :
2010
fDate :
13-15 Dec. 2010
Firstpage :
1
Lastpage :
8
Abstract :
Workflow design, mashup configuration, and composite service formation are examples where the capabilities of multiple simple services combined achieve a complex functionality. In this paper we address the problem of limiting the number of required services that fulfill the required capabilities while exploiting the functional specialization of individual services. Our approach strikes a balance between finding one service that matches all required capabilities and having one service for each required capability. Specifically, we introduce a weighted fuzzy clustering algorithm that detects implicit service capability groups. The clustering algorithm considers capability importance and service fitness to support those capabilities. Evaluation based on a real world dataset successfully demonstrates the effectiveness and applicability for service aggregation.
Keywords :
Web services; fuzzy set theory; pattern clustering; service-oriented architecture; statistical analysis; capability-driven service aggregation; composite service formation; individual services; mashup configuration; service fitness; weighted fuzzy clustering; workflow design; Clustering algorithms; Color; Entropy; Focusing; Mashups; Measurement; Quality of service; fuzzy clustering; service aggregation; service capabilities;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service-Oriented Computing and Applications (SOCA), 2010 IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
978-1-4244-9802-4
Type :
conf
DOI :
10.1109/SOCA.2010.5707163
Filename :
5707163
Link To Document :
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