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International Conference on Database and Expert Systems Applications

DEXA 2017: Database and Expert Systems Applications pp 37–44Cite as

A QoS-Aware Web Service Composition Approach Based on Genetic Programming and Graph Databases

Part of the Lecture Notes in Computer Science book series (LNISA,volume 10439)

Abstract

A Web service can be thought of as a software module designed to accomplish specific tasks over the Internet. Web services are very popular, as they encourage code reuse as opposed to re-implementing already existing functionality. The process of combining multiple Web services is known as Web service composition. Previous attempts at automatically generating compositions have made use of genetic programming to optimize compositions, or introduced databases to keep track of relationships between services. This paper presents an approach that combines these two ideas, generating new compositions based on information stored in a graph database and then optimising their quality using genetic programming. Experiments were conducted comparing the performance of the newly proposed approach against that of existing works. Results show that the new approach executes faster than the previously proposed works, though it does not always reach the same solution quality as the compositions produced by them. Despite this, the experiments demonstrate that the fundamental idea of combining graph databases and genetic programming for Web service composition is feasible and a promising area of investigation.

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Authors and Affiliations

  1. School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand

    Alexandre Sawczuk da Silva, Ewan Moshi & Hui Ma

  2. Department of Informatics, Clausthal University of Technology, Julius-Albert-Strasse 4, 38678, Clausthal-zellerfeld, Germany

    Sven Hartmann

Authors
  1. Alexandre Sawczuk da Silva
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  2. Ewan Moshi
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  3. Hui Ma
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  4. Sven Hartmann
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Corresponding author

Correspondence to Alexandre Sawczuk da Silva .

Editor information

Editors and Affiliations

  1. University of Lyon, Villeurbanne, France

    Djamal Benslimane

  2. University of Milan, Milan, Italy

    Ernesto Damiani

  3. University of Michigan, Dearborn, Michigan, USA

    William I. Grosky

  4. Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  5. Wright State University, Dayton, Ohio, USA

    Amit Sheth

  6. Johannes Kepler University, Linz, Austria

    Roland R. Wagner

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da Silva, A.S., Moshi, E., Ma, H., Hartmann, S. (2017). A QoS-Aware Web Service Composition Approach Based on Genetic Programming and Graph Databases. In: Benslimane, D., Damiani, E., Grosky, W., Hameurlain, A., Sheth, A., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2017. Lecture Notes in Computer Science(), vol 10439. Springer, Cham. https://doi.org/10.1007/978-3-319-64471-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-64471-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64470-7

  • Online ISBN: 978-3-319-64471-4

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