Earticle

초록

영어

Traditional scheduling algorithms typically aim to minimize the total time cost for processing all tasks. However, in cloud computing environments, computing capability differs for different resources, and so does the cost of resource usage. Therefore, it is vital to take into consideration the usage cost of resources. Along this line, in this paper, we proposed a modified algorithm based on PSO to solve the task scheduling problem in cloud computing environments. Specifically, by adding a cost-aware fitness function to quantify the cost of resource usage, along with the fitness function for time cost, our method can achieve the goal of minimizing both the processing time and resource usage, and therefore reach a global optimal solution. Besides, our experiment on a simulated cloud computing environment proves the efficiency of our proposed algorithm.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Problem Statement
 4. PSO Based Task Scheduling
  4.1. PSO Basics
  4.2. Cost-Aware Scheduling Algorithm Based on PSO
 5. Experiments
  5.1. Experimental Settings
  5.2. Performance Results
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Gang Zhao [ Teachers' skill-training Center, Mianyang Normal University, Mianyang, Sichuan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605