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논문검색

Research of Resource Scheduling Strategy in Cloud Computing

원문정보

Ying Gao, Guang Yang, Yanglin Ma, Mu Lei, Jiajie Duan

보안공학연구지원센터(IJGDC) International Journal of Grid and Distributed Computing Vol.8 No.3 2015.06 pp.257-266
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초록

영어

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.

목차

Abstract
 1. Introduction
 2. The Improved Ant Colony Algorithm
 3. Description of the Virtual Machine Reset and Migration Algorithm
 4. Simulation Results and Analysis
 5. Conclusion
 Acknowledgements
 References

키워드

저자정보

  • Ying Gao College of Computer Science and Engineering, South China University of Technology (SCUT) Guangzhou 510006, China, Ph. /Fax: 39380281
  • Guang Yang College of Computer Science and Engineering, South China University of Technology (SCUT) Guangzhou 510006, China, Ph. /Fax: 39380281
  • Yanglin Ma College of Computer Science and Engineering, South China University of Technology (SCUT) Guangzhou 510006, China, Ph. /Fax: 39380281
  • Mu Lei Huanggang Dong Road,TiaoqiaoDistrict,JiNan,Shangdong Province
  • Jiajie Duan YunNan Electric Power Test & Research Institute Group CO., LTD. China

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