Year: 2016
Type: conference-paper
Abstract: The task scheduling strategy based on cultural genetic algorithm(CGA) is proposed in order to improve the efficiency of task scheduling in the cloud computing platform, which targets at minimizing the total time and cost of task scheduling. The improved genetic algorithm is used to construct the main population space and knowledge space under cultural framework which get independent parallel evolution, forming a mechanism of mutual promotion to dispatch the cloud task. Simultaneously, in order to prevent the defects of the genetic algorithm which is easy to fall into local optimum, the non-uniform mutation operator is introduced to improve the search performance of the algorithm. The experimental results show that CGA reduces the total time and lowers the cost of the scheduling, which is an effective algorithm for the cloud task scheduling.
Source: MATEC Web of Conferences
Authors: Jian-Wen Li, Chi-Wen Qu
Institutions: Guangxi University of Finance and Economics, Baise University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
Award: G2035384614
OpenAlex ID: W2345211680