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Dorn, C., & Dustdar, S. (2011). Weighted Fuzzy Clustering for Capability-driven Service Aggregation. Service Oriented Computing and Applications, 6(2), 83–98. https://doi.org/10.1007/s11761-011-0090-y
Software; Hardware and Architecture; Information Systems; Management Information Systems; Fuzzy clustering · Service capabilities · Service aggregation
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Abstract:
Workflow design, mashup configuration, and composite service formation are examples where the capabilities ofmultiple 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 b...
Workflow design, mashup configuration, and composite service formation are examples where the capabilities ofmultiple 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 data set successfully demonstrates the effectiveness of and applicability for service aggregation.
en
Project title:
Community-based Interoperability Utility for SMEs: 213876 (European Commission)
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Research Areas:
Distributed and Parallel Systems: 95% Computer Science Foundations: 5%
