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Bio-inspired cost-aware optimization for data-intensive service provision

Journal Article


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Abstract


  • The use of Big 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. The scope,

    number, and complexity of data-intensive services are all set to soar in the future. To compose these services

    will be more challenging. Issues of autonomy, scalability, adaptability, and robustness, become difficult to

    resolve. Bio-inspired algorithms can overcome the new challenging requirements of data-intensive service

    provision. It is useful for the provision of data-intensive services to explore key features and mechanisms of

    biological systems and accordingly to add biological mechanisms to services. In this paper, we will discuss

    single-objective and multi-objective data-intensive service provision problems based on bio-inspired

    algorithms. Further, we will propose an ant-inspired negotiation approach. Finally, this paper points out

    future research topics.

Authors


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

Publication Date


  • 2015

Citation


  • Wang, L., Shen, J. & Luo, J. (2015). Bio-inspired cost-aware optimization for data-intensive service provision. Concurrency and Computation: Practice and Experience, 27 (18), 5662-5685.

Scopus Eid


  • 2-s2.0-84983128428

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=6083&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/5056

Has Global Citation Frequency


Number Of Pages


  • 23

Start Page


  • 5662

End Page


  • 5685

Volume


  • 27

Issue


  • 18

Place Of Publication


  • United Kingdom

Abstract


  • The use of Big 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. The scope,

    number, and complexity of data-intensive services are all set to soar in the future. To compose these services

    will be more challenging. Issues of autonomy, scalability, adaptability, and robustness, become difficult to

    resolve. Bio-inspired algorithms can overcome the new challenging requirements of data-intensive service

    provision. It is useful for the provision of data-intensive services to explore key features and mechanisms of

    biological systems and accordingly to add biological mechanisms to services. In this paper, we will discuss

    single-objective and multi-objective data-intensive service provision problems based on bio-inspired

    algorithms. Further, we will propose an ant-inspired negotiation approach. Finally, this paper points out

    future research topics.

Authors


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

Publication Date


  • 2015

Citation


  • Wang, L., Shen, J. & Luo, J. (2015). Bio-inspired cost-aware optimization for data-intensive service provision. Concurrency and Computation: Practice and Experience, 27 (18), 5662-5685.

Scopus Eid


  • 2-s2.0-84983128428

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=6083&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/5056

Has Global Citation Frequency


Number Of Pages


  • 23

Start Page


  • 5662

End Page


  • 5685

Volume


  • 27

Issue


  • 18

Place Of Publication


  • United Kingdom