A QoS-based service retrieval methodology for digital ecosystems

  • Authors:

  • Hai Dong;Farookh Khadeer Hussain;Elizabeth Chang

  • Affiliations:

  • Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia.;Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia.;Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia

  • Venue:
  • International Journal of Web and Grid Services
  • Year:
  • 2009

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Abstract

The emergence of the World Wide Web and its influence on the fields of industry, commerce, healthcare and so on, has led to an innovative, dynamic, open, collaborative and interactive environment – the digital ecosystem. Whereas service plays an important role in digital ecosystems, there is no technology available to retrieve heterogeneous and geographically dispersed services. Additionally, no methodology has been proposed in the literature that can distinguish or rank the services based on the Quality of Services (QoS). In order to address these issues, we propose a semantic service retrieval engine which incorporates a novel semantic QoS evaluation methodology. The salient feature of this methodology that sets it apart from any other QoS evaluation methodologies is that the evaluation of the service and the subsequent quantification of QoS is a combination of subjective and objective QoS measures. Another salient feature of our proposed methodology is that it enables the domain-specific ranking of services. Finally, an online prototype is implemented to evaluate our methodology, the results of which are discussed in this paper.