Service discovery acceleration with hierarchical clustering

Zijie Cong (), Alberto Fernandez (), Holger Billhardt () and Marin Lujak ()
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Zijie Cong: University Rey Juan Carlos
Alberto Fernandez: University Rey Juan Carlos
Holger Billhardt: University Rey Juan Carlos
Marin Lujak: University Rey Juan Carlos

Information Systems Frontiers, 2015, vol. 17, issue 4, No 7, 799-808

Abstract: Abstract This paper presents an efficient Web Service Discovery approach based on hierarchical clustering. Conventional web service discovery approaches usually organize the service repository in a list manner, therefore service matchmaking is performed with linear complexity. In this work, services in a repository are clustered using hierarchical clustering algorithms with a distance measure from an attached matchmaker. Service discovery is then performed over the resulting dendrogram (binary tree). In comparison with conventional approaches that mostly perform exhaustive search, we show that service-clustering method brings a dramatic improvement on time complexity with an acceptable loss in precision.

Keywords: Service discovery; Hirerachical clustering; Service matchmaking (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s10796-014-9525-2

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