Task scheduling of cloud computing using integrated particle swarm algorithm and ant colony algorithm

@article{Chen2017TaskSO,
  title={Task scheduling of cloud computing using integrated particle swarm algorithm and ant colony algorithm},
  author={Xuan Chen and Dan Long},
  journal={Cluster Computing},
  year={2017},
  pages={1-9}
}
The optimization of task scheduling in cloud computing is built with the purpose of improving its working efficiency. Aiming at resolving the deficiencies during the method deployment, supporting algorithms are therefore introduced. This paper proposes a particle swarm optimization algorithm with the combination of based on ant colony optimization, which proposes the parameter determination into particle swarm algorithm. The integrated algorithm is capable of keeping particles in the fitness… CONTINUE READING
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Showing 1-10 of 23 references

Research on task scheduling based on particle swarm and ant colony algorithm for cloud computing

  • Cha an-min.
  • Master Dissertation, Nanjing University of…
  • 2016
1 Excerpt

Analysis of service scheduling and resource allocation based on cloud computing

  • L. X. Xie
  • Appl. Res. Comput. 32(2), 528–531
  • 2015

Service quality and perceived value of cloud computing-based service encounters: evaluation of instructor perceived service quality in higher education in Texas, Doctor Dissertation

  • E. Egedigwe
  • 2015
1 Excerpt

Sla-oriented virtual resources scheduling in cloud computing environment

  • Y. Shi-yang
  • Comput. Appl. Softw. 32(4), 11–14
  • 2015

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