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Impacts of pheromone modification strategies in ant colony for data-intensive service provision

Conference Paper


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Abstract


  • In the provision of dynamic data-intensive services,

    the cost and response time of data sets as well as

    the states of services may change over time. An ant colony

    system for this problem is studied in this paper. Specifically,

    we consider changing the QoS attributes of services and

    replacing a certain number of services with new ones at

    different frequencies. In order to adapt the ant colony system

    to handle the dynamic scenarios, several pheromone modification

    strategies in reaction to changes of the optimization

    scenarios are investigated. The aim of the strategies is to

    find a balance between preserving enough old pheromone

    information to speed up the search process, and resetting

    enough new pheromone information to facilitate the ants to

    find a new solution for the changed scenarios. The strategies

    differ in their degree of reinitialized pheromone values with

    respect to the information that has been used to decide the

    amount of pheromone values. Moreover, the behaviors of

    different strategies for modifying pheromone information are

    compared.

Authors


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

Publication Date


  • 2014

Citation


  • Wang, L., Shen, J. & Luo, J. (2014). Impacts of pheromone modification strategies in ant colony for data-intensive service provision. 21st IEEE International Conference of Web Services (ICWS 2014) (pp. 177-184). United States: Institute of Electrical and Electronics Engineers.

Scopus Eid


  • 2-s2.0-84924995627

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3725&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2716

Has Global Citation Frequency


Start Page


  • 177

End Page


  • 184

Place Of Publication


  • United States

Abstract


  • In the provision of dynamic data-intensive services,

    the cost and response time of data sets as well as

    the states of services may change over time. An ant colony

    system for this problem is studied in this paper. Specifically,

    we consider changing the QoS attributes of services and

    replacing a certain number of services with new ones at

    different frequencies. In order to adapt the ant colony system

    to handle the dynamic scenarios, several pheromone modification

    strategies in reaction to changes of the optimization

    scenarios are investigated. The aim of the strategies is to

    find a balance between preserving enough old pheromone

    information to speed up the search process, and resetting

    enough new pheromone information to facilitate the ants to

    find a new solution for the changed scenarios. The strategies

    differ in their degree of reinitialized pheromone values with

    respect to the information that has been used to decide the

    amount of pheromone values. Moreover, the behaviors of

    different strategies for modifying pheromone information are

    compared.

Authors


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

Publication Date


  • 2014

Citation


  • Wang, L., Shen, J. & Luo, J. (2014). Impacts of pheromone modification strategies in ant colony for data-intensive service provision. 21st IEEE International Conference of Web Services (ICWS 2014) (pp. 177-184). United States: Institute of Electrical and Electronics Engineers.

Scopus Eid


  • 2-s2.0-84924995627

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3725&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2716

Has Global Citation Frequency


Start Page


  • 177

End Page


  • 184

Place Of Publication


  • United States