An Improved Ant Colony Optimization Algorithm for Improving Cloud Resource Utilization

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Oct 2016Publisher:IEEEJournal:2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)

Authors: Qingbin Nie; Pinghua Li;

doi: 10.1109/cyberc.2016.66

An Improved Ant Colony Optimization Algorithm for Improving Cloud Resource Utilization

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Abstract

In order to improve the cloud computing utilization, an Improved Ant Colony Optimization (IACO) is proposed. The proposed IACO algorithm improves pheromone factors and inspired factors innovatively based on the existent algorithms. Emulation tests are conducted in the CloudSim and the results indicate that IACO is superior to the conventional ACO and the latest IABC in task executing efficiency.

Related Organizations

Chongqing University of Posts and Telecommunications
China (People's Republic of)

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