Earticle

초록

영어

In order to achieve scheduling of the cloud computing resource, we propose an FC algorithm based on the fuzzy clustering in this paper. There are 5 steps in executing the FC algorithm, including the requirement eigenvector construction, the data normalization, the data standardization, the fuzzy similarity matrix construction and the clustering analysis. In which we use the transitive closure method in the clustering analysis. In order to improve the clustering speed in the FC algorithm, we make equivalent operation in the fuzzy matrix construction, so to establish the IFC algorithm. As the experimental results show that, the IFC algorithm has the faster execution speed and suitable for the parallel processing, which can effectively solve the clustering scheduling problem of the cloud computing resource.

목차

Abstract
 1. Introduction
 2. Cloud Computing Resource Scheduling Algorithm Based On the Fuzzy Clustering
  2.1. Scheduling Processing Designing
  2.2. Fuzzy Clustering Optimization
 3. Experiment and Analysis
 4. Conclusions
 References

키워드

저자

• Hao Yuan [ China Key Lab of Electronic Commerce and Modern Logistics of Chongqing University of Posts and Telecommunications, Chongqing, China ]
• Changbing Li [ China Key Lab of Electronic Commerce and Modern Logistics of Chongqing University of Posts and Telecommunications, Chongqing, China ]
• Maokang Du [ China Key Lab of Electronic Commerce and Modern Logistics of Chongqing University of Posts and Telecommunications, Chongqing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605