Earticle

초록

영어

Cloud computing is regarded as a new computing mode in recent years, and has been widely applied. Its task scheduling affects the performance of the cloud computing system directly, and people pay more and more attention to the security problems of cloud computing. The paper introduces the trust in scheduling algorithm, improves and fuses the PSO and SA in order to make them complementary. By applying that to the task scheduling strategy of cloud computing, we can get a higher scheduling efficiency. We implement the proposed algorithm and verify its high efficiency through the simulation platform (CloudSim).

목차

Abstract
 1. Introduction
 2. Problem Description
  2.1. Cloud Task Scheduling Model
  2.2. The Trust Mechanism
 3. The PSO-SA Algorithm
  3.1. Particle Swarm Optimization Algorithm
  3.2. Second-Order Headings Simulated Annealing Algorithm
  3.3. The Fusion of PSO and SA Algorithm
 4. The Experimental Simulation and Result Analysis
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Xiao-Lan Xie [ College of Information Science and Engineering, Guilin University of Technology, Guilin ,Guangxi Zhuang Autonomous Region, China ]
• Xiu-Juan Guo [ Guilin University of Technology GuangXi key Laboratory of Embedded Technology and Intelligent Information Processing China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605