An Improved Ant Colony Optimization Algorithm for Improving Cloud Resource Utilization
Qingbin Nie, Pinghua Li · 2016
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.