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Virtual resource monitoring in cloud computing

  • Fang-Fang Han
  • , Jun-Jie Peng
  • , Wu Zhang
  • , Qing Li
  • , Jian-Dun Li
  • , Qin-Long Jiang
  • , Qin Yuan

Research output: Journal Publications and ReviewsRGC 22 - Publication in policy or professional journal

Abstract

Cloud computing is a new computing model. The resource monitoring tools are immature compared to traditional distributed computing and grid computing. In order to better monitor the virtual resource in cloud computing, a periodically and event-driven push (PEP) monitoring model is proposed. Taking advantage of the push and event-driven mechanism, the model can provide comparatively adequate information about usage and status of the resources. It can simplify the communication between Master and Work Nodes without missing the important issues happened during the push interval. Besides, we develop "mon" to make up for the deficiency of Libvirt in monitoring of virtual CPU and memory. © Shanghai University and Springer-Verlag Berlin Heidelberg 2011.
Original languageEnglish
Pages (from-to)381-385
JournalJournal of Shanghai University
Volume15
Issue number5
DOIs
Publication statusPublished - Oct 2011
Externally publishedYes

Research Keywords

  • Cloud computing
  • Virtual resource monitoring
  • Virtualization

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