Earticle

초록

영어

In cloud platforms, virtualization technology has been widely applied for deploying large-scale IT-infrastructures due to its flexibility and extendibility. However, the extra software layer introduced by virtualization technology also raises many performance issues. One of them is the energy-efficiency losses when massive I/O-intensive tasks are running on virtualized servers. In this paper, we present a novel virtual machine scheduling approach, which the scheduler allows virtual machines to obtain extra CPU shares if they were frequently blocked by I/O interrupted recently. In this way, I/O-intensive tasks will have more chances of being scheduled so as to compensate their performance losses caused by I/O operations. Extensive experiments are conducted by using various benchmarks, and the results show that the proposed policy outperforms existing scheduling algorithm in the term of energy-efficiency especially when the virtualized system is in presence of intensive mixed-workloads.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Research Background and Motivation
  3.1. Virtual Machine Scheduling Framework
  3.2. I/O Scheduling Framework
 4. Scheduling Algorithm Design and Implementation
  4.1. Definition and Problem Formulation
  4.2. Share-Reclaiming Scheduling Policy
  4.3. Scheduling Algorithm Implementation
 5. Experiments and Performance Comparison
  5.1 Experimental Settings
  5.2 Comparison of energy-efficiency
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Dongbo Liu [ School of Computer and Communication, Hunan Institute of Engineering ]
• Ning Han [ School 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