Earticle

초록

영어

We proposed a task scheduling in cloud computing based on intelligence firefly algorithm aimed at the disadvantages of cloud computing task scheduling. Firstly, on the basis of cloud model, used intelligence firefly algorithm with strong ability of global searching to find the better solution of cloud computing task scheduling then turned the better solution into the initial pheromone of improved firefly algorithm, and found out the cloud computing task scheduling and the algorithm’s global optimal solution through improved firefly information communications and feedbacks. Finally, made comparison test of the three benchmark function on the basis of MATLAB, the results showed, compared with traditional intelligence firefly algorithms, the improved algorithm can preferably allocate the resources in cloud computing model, the effect of prediction model time is more close to actual time, can efficiently limit the possibility of falling into local convergence, the optimal solution’s time of objective function value is shorten which meet the user’s needs more.

목차

Abstract
 1. Introduction
 2. Problem Description
  2.1. Basic Knowledge of Cloud Model
  2.2. Intelligence Firefly Algorithm
 3. Measurement of Cloud Model’S Spray Characteristic
 4. Proposed Algorithm
  4.1. Mathematical Model
  4.2. The Applications of Improved Firefly Algorithm in Cloud Computing Tasks
  4.3. Steps of Algorithm
 5. Experimental Results
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Jichao Hu [ Department of Information Engineering, Shijiazhuang University of Economics, Shijiazhuang Hebei, P. R. China 050031 ]
• Yue Fu [ Department of Information Engineering, Shijiazhuang University of Economics, Shijiazhuang Hebei, P. R. China 050031 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605