QoS application of two-way convergent ant colony algorithm in cloud computing resource scheduling

QoS application of two-way convergent ant colony algorithm in cloud computing resource scheduling

Feng

Cloud computing environment, the number of users and the number of tasks to deal with a large amount of task completion time and meet the customer's QoS requirements have high requirements. In this paper, the resource scheduling problem in cloud computing is studied, and the adaptive function model of cloud computing resource scheduling is established, and the bidirectional convergence strategy is introduced on the basis of the maximum minimum ant colony algorithm. Simulation experiments on Cloudsim platform show that the algorithm has fast convergence speed and good QoS service capability in cloud computing resource allocation, and is an effective resource scheduling algorithm.

QoS application of two-way convergent ant colony algorithm in cloud computing resource scheduling