Virtual resource monitoring in cloud computing |
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| Authors: | HAN Fang-fang PENG Jun-jie ZHANG Wu LI Qing LI Jian-dun JIANG Qin-long YUAN Qin |
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| Institution: | 1. School of Computer Engineering and Science, Shanghai University, Shanghai 200072, P.R.China
2. School of Computer Engineering and Science, Shanghai University, Shanghai 200072, P.R.China;Key Laboratory of Computer System and Architecture, Institute of Computing Technology, Chinese Academy of Science,Beijing 100190, P.R.China |
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| 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. |
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| Keywords: | virtual resource monitoring cloud computing virtualization |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
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