Research of Resource Scheduling Strategy in Cloud Computing

نویسندگان

  • Ying Gao
  • Guang Yang
  • Yanglin Ma
  • Jiajie Duan
چکیده

To solve the cloud computing resource scheduling problem in IaaS platform, a scheduling model based on ant colony algorithm was proposed. In this model, pheromone changes dynamically according to the best route searched by ants. This model automatically updates pheromones and guides ants to search the global best route. Experiment results show that the proposed model is of better ability in energy consumption in the IaaS cloud computing platform.

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تاریخ انتشار 2015