Year: 2019
Type: article
Abstract: Aiming at the problem of low efficiency of task scheduling in cloud computing, this paper first analyzes the task of cloud computing task scheduling.Secondly, the pheromone setting quality function of the ant colony algorithm and the empirical feedback factor of selection probability are improved.The new method is adopted for the colonial calculation method and boundary value processing in the imperial competition algorithm.Finally, the two algorithms are merged to obtain a cloud computing task scheduling algorithm based on the ant colony algorithm-empire competition algorithm.In the simulation experiment, the algorithm demonstrates certain advantages in terms of task execution time, execution cost, and load rate.
Author: Yao Yao
Institution: Zhengzhou Institute of Technology
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2973568482