A survey of fuzzy service matching approaches in the context of on-the-fly computing

  • Authors:

  • Marie C. Platenius;Markus von Detten;Steffen Becker;Wilhelm Schäfer;Gregor Engels

  • Affiliations:

  • Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany;Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany;Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany;Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany;Department of Computer Science, University of Paderborn, Paderborn, Germany

  • Venue:
  • Proceedings of the 16th International ACM Sigsoft symposium on Component-based software engineering
  • Year:
  • 2013

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Abstract

In the last decades, development turned from monolithic software products towards more flexible software components that can be provided on world-wide markets in form of services. Customers request such services or compositions of several services. However, in many cases, discovering the best services to address a given request is a tough challenge and requires expressive, gradual matching results, considering different aspects of a service description, e.g., inputs/ouputs, protocols, or quality properties. Furthermore, in situations in which no service exactly satisfies the request, approximate matching which can deal with a certain amount of fuzziness becomes necessary. There is a wealth of service matching approaches, but it is not clear whether there is a comprehensive, fuzzy matching approach which addresses all these challenges. Although there are a few service matching surveys, none of them is able to answer this question. In this paper, we perform a systematic literature survey of 35 (out of 504) service matching approaches which consider fuzzy matching. Based on this survey, we propose a classification, discuss how different matching approaches can be combined into a comprehensive matching method, and identify future research challenges.