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Ant-inspired multi-phase and multi-party negotiations in the data-intensive service provision

Conference Paper


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Abstract


  • The rapid proliferation of enormous sources of

    digital data and the development of cloud computing have 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

    of autonomy, scalability, adaptability, and robustness, become

    difficult to resolve. In order to automate the process of reaching

    an agreement in data-intensive service provision, the ant-inspired

    negotiation mechanism is considered in this paper. There are twostage

    negotiation procedures in our 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 for selecting the services.

    The experimental results show that our ant-inspired negotiation

    approach can facilitate the data-intensive service provision.

    Index Terms—Ant colony system, data-intensive service composition,

    automated negotiation, quality of service.

Publication Date


  • 2014

Citation


  • Wang, L., Shen, J., Zhou, Q. & Beydoun, G. (2014). Ant-inspired multi-phase and multi-party negotiations in the data-intensive service provision. IEEE International Conference on Services Computing (pp. 211-218). United States: IEEE.

Scopus Eid


  • 2-s2.0-84919648991

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3726&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2717

Has Global Citation Frequency


Start Page


  • 211

End Page


  • 218

Place Of Publication


  • United States

Abstract


  • The rapid proliferation of enormous sources of

    digital data and the development of cloud computing have 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

    of autonomy, scalability, adaptability, and robustness, become

    difficult to resolve. In order to automate the process of reaching

    an agreement in data-intensive service provision, the ant-inspired

    negotiation mechanism is considered in this paper. There are twostage

    negotiation procedures in our 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 for selecting the services.

    The experimental results show that our ant-inspired negotiation

    approach can facilitate the data-intensive service provision.

    Index Terms—Ant colony system, data-intensive service composition,

    automated negotiation, quality of service.

Publication Date


  • 2014

Citation


  • Wang, L., Shen, J., Zhou, Q. & Beydoun, G. (2014). Ant-inspired multi-phase and multi-party negotiations in the data-intensive service provision. IEEE International Conference on Services Computing (pp. 211-218). United States: IEEE.

Scopus Eid


  • 2-s2.0-84919648991

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3726&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2717

Has Global Citation Frequency


Start Page


  • 211

End Page


  • 218

Place Of Publication


  • United States