Earticle

초록

영어

With cloud computing continues to mature and widely used, the availability guarantee of cloud system becomes one of the key issues. In the cloud system based on virtualization, reliability of virtual machine is an important premise to guarantee the quality of service of cloud computing. Recent research shows, applications deployed inside the virtual machine will appear performance degradation even failure after long-term operation, namely "the aging phenomenon". Prediction, diagnosis and rejuvenation of the virtual machine is a relatively complete technical framework to guarantee reliability of the cloud computing system. In this paper, we propose a software rejuvenation framework based on group migration of virtual machine to guarantee reliability of the distributed system. First construct the dependency relationship of the virtual machines; then diagnosis the software aging of virtual machine; decide the optimal virtual machine set which need to migration. Compared with the traditional single computing nodes restart/ recovery mode, downtime of group rejuvenation can be 61.53% of downtime of traditional mode. In the cloud computing environment, group rejuvenation method can ensure the availability of cloud systems more effectively than the conventional rejuvenation method.

목차

Abstract
 1. Introduction
 2. Framework Overview
 3. Framework Design
  3.1. Aging Detection and Rejuvenation Time Prediction
  3.2. Dependency Relationship Based on Service
  3.3. Group Node Selection
 4. Experimental Evaluation
  4.1. Evaluation Methodology and Effectiveness
  4.2. Discussion
 5. Related Work
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Li Su [ School of Electronics and Information Engineering, Xi’an Jiaotong University Xi’an,China School of Mathematics and Statistics, Hainan National University HaiKou, China ]
• Pengfei Chen [ School of Electronics and Information Engineering, Xi’an Jiaotong University Xi’an,China School of Mathematics and Statistics, Hainan National University HaiKou, China ]
• Yong Qi [ School of Electronics and Information Engineering, Xi’an Jiaotong University Xi’an,China School of Mathematics and Statistics, Hainan National University HaiKou, China ]
• Xinyi Li [ School of Electronics and Information Engineering, Xi’an Jiaotong University Xi’an,China School of Mathematics and Statistics, Hainan National University HaiKou, 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