Earticle

초록

영어

In the past decades, plenty scheduling policies have been proposed for improving the execution performance of workflow applications. However, few of them have addressed the issue of energy conservation. In this paper, a novel scheduling metric, namely Minimal Energy Consumption Path, is introduced to reducing the energy consumption when scheduling large-scale workflows. The proposed scheduling metric can be incorporated into current schedulers so as to enhance their capability of energy conservation as well as maintain their scheduling performance. A lot of experiments are performed by using different scheduler and experimental settings to evaluate the proposed scheduling metric and the results indicate it is effective for reducing the storage-related energy consumption, especially when the target workflows are data-intensive.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Problem Formulation
 4. Energy-aware Heuristic Metric
  4.1. Energy Consumption Model of Task Execution
  4.2. Energy-aware Scheduling Policy
 5. Experiments and Performance Comparison
  5.1. Experimental Settings
  5.2. Comparison of Performance and Analysis
 6. Conclusion
 References

키워드

저자

• Hong He [ Department of Computer and Communication, Hunan Institute of Engineering ]
• Peng Xiao [ Department of Computer and Communication, Hunan Institute of Engineering ]

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