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Multi-objective Ant Colony System for Data-Intensive Service Provision

Conference Paper


Abstract


  • Data-intensive services have become one of the most challenging applications in cloud computing. The classical service composition problem will face new challenges as the services and correspondent data grow. A typical environment is the large scale scientific project AMS, which we are processing huge amount of data streams. In this paper, we will resolve service composition problem by considering the multi-objective data-intensive features. We propose to apply ant colony optimization algorithms and implemented them with simulated workflows in different scenarios. To evaluate the proposed algorithm, we compared it with a multi-objective genetic algorithm with respect to five performance metrics.

Publication Date


  • 2015

Citation


  • Wang, L., Shen, J., & Luo, J. (2015). Multi-objective Ant Colony System for Data-Intensive Service Provision. In Proceedings - 2014 2nd International Conference on Advanced Cloud and Big Data, CBD 2014 (pp. 45-52). doi:10.1109/CBD.2014.15

Scopus Eid


  • 2-s2.0-84959451598

Web Of Science Accession Number


Start Page


  • 45

End Page


  • 52

Abstract


  • Data-intensive services have become one of the most challenging applications in cloud computing. The classical service composition problem will face new challenges as the services and correspondent data grow. A typical environment is the large scale scientific project AMS, which we are processing huge amount of data streams. In this paper, we will resolve service composition problem by considering the multi-objective data-intensive features. We propose to apply ant colony optimization algorithms and implemented them with simulated workflows in different scenarios. To evaluate the proposed algorithm, we compared it with a multi-objective genetic algorithm with respect to five performance metrics.

Publication Date


  • 2015

Citation


  • Wang, L., Shen, J., & Luo, J. (2015). Multi-objective Ant Colony System for Data-Intensive Service Provision. In Proceedings - 2014 2nd International Conference on Advanced Cloud and Big Data, CBD 2014 (pp. 45-52). doi:10.1109/CBD.2014.15

Scopus Eid


  • 2-s2.0-84959451598

Web Of Science Accession Number


Start Page


  • 45

End Page


  • 52