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
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