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Multi-phase ant colony system for multi-party data-intensive service provision

Journal Article


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Abstract


  • The rapid proliferation of enormous sources of digital data has led to greater dependence on data-intensive services.

    Each service may actually request or create a large amount of data sets. To compose these services will be more challenging.

    Issues such as autonomy, scalability, adaptability, and robustness, become difficult to resolve. In order to automate the process of

    reaching an agreement among service composers, service providers, and data providers, an ant-inspired negotiation mechanism

    is considered in this paper. We exploit a group of agents automatically negotiating to establish agreeable service contracts. Twostage

    negotiation procedures are used in our data-intensive service provision model, which will provide effective and efficient

    service selection for service composers. We also present a multi-phase, multi-party negotiation protocol, where the ant colony

    system is applied to select services with the best or near-optimal utility outputs. In order to adapt the ant colony system to handle

    the dynamic scenarios during negotiations, we also discuss several strategies for modifying the pheromone information in the

    first place. The experimental results show that our negotiation-based approach can facilitate the data-intensive service provision

    with better outcome.

Authors


  •   Wang, Lijuan (external author)
  •   Shen, Jun

Publication Date


  • 2016

Citation


  • Wang, L. & Shen, J. (2016). Multi-phase ant colony system for multi-party data-intensive service provision. IEEE Transactions on Services Computing, 9 (2), 264-276.

Scopus Eid


  • 2-s2.0-84963803957

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=5111&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/4090

Has Global Citation Frequency


Number Of Pages


  • 12

Start Page


  • 264

End Page


  • 276

Volume


  • 9

Issue


  • 2

Place Of Publication


  • United States

Abstract


  • The rapid proliferation of enormous sources of digital data has led to greater dependence on data-intensive services.

    Each service may actually request or create a large amount of data sets. To compose these services will be more challenging.

    Issues such as autonomy, scalability, adaptability, and robustness, become difficult to resolve. In order to automate the process of

    reaching an agreement among service composers, service providers, and data providers, an ant-inspired negotiation mechanism

    is considered in this paper. We exploit a group of agents automatically negotiating to establish agreeable service contracts. Twostage

    negotiation procedures are used in our data-intensive service provision model, which will provide effective and efficient

    service selection for service composers. We also present a multi-phase, multi-party negotiation protocol, where the ant colony

    system is applied to select services with the best or near-optimal utility outputs. In order to adapt the ant colony system to handle

    the dynamic scenarios during negotiations, we also discuss several strategies for modifying the pheromone information in the

    first place. The experimental results show that our negotiation-based approach can facilitate the data-intensive service provision

    with better outcome.

Authors


  •   Wang, Lijuan (external author)
  •   Shen, Jun

Publication Date


  • 2016

Citation


  • Wang, L. & Shen, J. (2016). Multi-phase ant colony system for multi-party data-intensive service provision. IEEE Transactions on Services Computing, 9 (2), 264-276.

Scopus Eid


  • 2-s2.0-84963803957

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=5111&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/4090

Has Global Citation Frequency


Number Of Pages


  • 12

Start Page


  • 264

End Page


  • 276

Volume


  • 9

Issue


  • 2

Place Of Publication


  • United States