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QoS-aware service evaluation and selection

Author

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  • Tsesmetzis, Dimitrios
  • Roussaki, Ioanna
  • Sykas, Efstathios

Abstract

Making the provision of services QoS-aware is to the advantage of both clients and providers in the e-business domain. This paper studies the problem of providers that receive multiple concurrent requests for services demonstrating different QoS properties. It introduces the "Selective Multiple Choice Knapsack Problem" that aims to identify the services, which should be delivered in order to maximise the provider's profit, subject to maximum bandwidth constraints. This problem is solved by a proposed algorithm that has been empirically evaluated via numerous experiments.

Suggested Citation

  • Tsesmetzis, Dimitrios & Roussaki, Ioanna & Sykas, Efstathios, 2008. "QoS-aware service evaluation and selection," European Journal of Operational Research, Elsevier, vol. 191(3), pages 1101-1112, December.
    • Handle: RePEc:eee:ejores:v:191:y:2008:i:3:p:1101-1112
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    2. Prabhakant Sinha & Andris A. Zoltners, 1979. "The Multiple-Choice Knapsack Problem," Operations Research, INFORMS, vol. 27(3), pages 503-515, June.
    3. Egon Balas & Eitan Zemel, 1980. "An Algorithm for Large Zero-One Knapsack Problems," Operations Research, INFORMS, vol. 28(5), pages 1130-1154, October.
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    Cited by:

    1. Shuai Ding & Chen-Yi Xia & Kai-Le Zhou & Shan-Lin Yang & Jennifer S Shang, 2014. "Decision Support for Personalized Cloud Service Selection through Multi-Attribute Trustworthiness Evaluation," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.

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