Application research based on improved genetic algorithm in cloud task scheduling

Author:

Sun Yang1,Li Jianrong1,Fu Xueliang1,Wang Haifang1,Li Honghui1

Affiliation:

1. College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference21 articles.

1. Cloud computing;Hayes;Communications of the ACM,2008

2. ARMCO: Advanced topics in resource management for ubiquitous cloud computing: An adaptive approach;Pop;Future Generation Computer Systems,2016

3. A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems;Mezmaz;Journal of Parallel & Distributed Computing,2011

4. Hybrid symbiotic organisms search optimization algorithm for scheduling of tasks on cloud computing environment;Abdullahi;PLoS One,2016

5. A genetic algorithmic method for scheduling optimization in cloud computing services;Gawanmeh;Arabian Journal for Science & Engineering,2017

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