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云计算系统可靠性研究综述

  • Wenxue Duan
  • , Ming Hu
  • , Qiong Zhou*
  • , Tingming Wu
  • , Junlong Zhou
  • , Xiao Liu
  • , Tongquan Wei
  • , Mingsong Chen
  • *此作品的通讯作者
  • East China Normal University
  • Shanghai International Studies University
  • Nanjing University of Science and Technology
  • Deakin University

科研成果: 期刊稿件文献综述同行评审

摘要

As a new computing paradigm, cloud computing has attracts extensive concerns from both academic and industrial fields. Based on resource virtualization technology, cloud computing provides users with services in the forms of infrastructure, platform and software in a "pay-as-you-go" manner. In the meanwhile, since cloud computing provides highly scalable computing resources, more and more enterprises and organizations choose cloud computing platforms to deploy their scientific or commercial applications. However, with the increasing number of cloud users, cloud data centers continuously expand and the architecture becomes increasingly complex, leading to growing runtime failures in cloud computing systems. Therefore, how to ensure the system reliability in cloud computing systems with large scale and complex architecture has become a huge challenge. This paper first summarizes various failures in cloud systems, introduces several methods to evaluate the reliability of cloud computing, and describes some key fault management mechanisms. Since fault management techniques inevitably increase energy consumption of cloud systems, this paper reviews current researches on the trade-off between reliability and energy efficiency in cloud computing. In the end, we propose some major challenges in current research of cloud computing reliability and concludes our paper.

投稿的翻译标题Reliability in Cloud Computing System: A Review
源语言繁体中文
页(从-至)102-123
页数22
期刊Jisuanji Yanjiu yu Fazhan/Computer Research and Development
57
1
DOI
出版状态已出版 - 1 1月 2020

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

关键词

  • Cloud computing
  • Energy consumption
  • Fault management
  • Reliability
  • Virtualization

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