Earticle

초록

영어

Task scheduling and resource scheduling are the core issue in cloud computing. Pointing at the premature problem in the scheduling algorithm of particle swarm, we propose a scheduling algorithm of cloud task particle swarm based on “fission” mechanism in this paper. The particle in traditional particle swarm algorithm gets “fission” by the new algorithm in appropriate place, to get more kinds of the particles, contributing to the particle swarm diversity, avoiding premature convergence of the swarm. As the experimental result shows that, the algorithm in this paper has faster scheduling efficiency than the FIFO and the PSO, also solves the premature problem in PSO.

목차

Abstract
 1. Introduction
 2. Scheduling Algorithm Based on “Fission” Mechanism
  2.1. General Idea of Algorithm Design
  2.2. Traditional PSO
  2.3. Fission
  2.4. Building the Cloud Task Scheduling Algorithm
 3. Experiment and Analysis
 4. Conclusion
 References

키워드

저자

• Youwei Shao [ School of Applied Electronics, Chongqing College of Electronic Engineering, Chongqing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605