上海交通大学学报(英文版) ›› 2015, Vol. 20 ›› Issue (2): 149-155.doi: 10.1007/s12204-015-1603-1

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Application-Oriented Cloud Monitoring Data Distribution Mechanism

LI Da-zhi1,2* (李大志), LIU Jian-hua3 (刘建华), DONG Xin1 (董鑫),LI Lu-qun2 (李鲁群), CHEN Jun-hua2 (陈军华)   

  1. (1. School of Electronic Information and Electric Engineering, Shanghai Jiaotong University, Shanghai 200240, China; 2. College of Information, Mechamical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China; 3. College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing 314001, Zhejiang, China)
  • 出版日期:2015-04-30 发布日期:2015-04-02
  • 通讯作者: LI Da-zhi (李大志) E-mail:lijunzhi@sjtu.edu.cn

Application-Oriented Cloud Monitoring Data Distribution Mechanism

LI Da-zhi1,2* (李大志), LIU Jian-hua3 (刘建华), DONG Xin1 (董鑫),LI Lu-qun2 (李鲁群), CHEN Jun-hua2 (陈军华)   

  1. (1. School of Electronic Information and Electric Engineering, Shanghai Jiaotong University, Shanghai 200240, China; 2. College of Information, Mechamical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China; 3. College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing 314001, Zhejiang, China)
  • Online:2015-04-30 Published:2015-04-02
  • Contact: LI Da-zhi (李大志) E-mail:lijunzhi@sjtu.edu.cn

摘要: Cloud computing system consists of private clouds and public clouds. It merges its resources on each layer (e.g. IaaS, PaaS and SaaS), which poses a challenge for resource management. The cloud monitoring system is a solution to managing cloud system data from the heterogeneous resources. This paper discusses the monitoring and collection of the heterogeneous resources, studies the adaptive system, and proposes a real-time extensible distributed framework of monitoring data processing. Based on this framework, a system of monitoring data distribution, publication and subscription is proposed. The simulation results show that the proposed mechanism can adaptively determine the distribution action of monitoring data flow, and effectively reduce the costs for data monitoring and distribution.

关键词: cloud computing, cloud monitoring, data aggregation, resource management

Abstract: Cloud computing system consists of private clouds and public clouds. It merges its resources on each layer (e.g. IaaS, PaaS and SaaS), which poses a challenge for resource management. The cloud monitoring system is a solution to managing cloud system data from the heterogeneous resources. This paper discusses the monitoring and collection of the heterogeneous resources, studies the adaptive system, and proposes a real-time extensible distributed framework of monitoring data processing. Based on this framework, a system of monitoring data distribution, publication and subscription is proposed. The simulation results show that the proposed mechanism can adaptively determine the distribution action of monitoring data flow, and effectively reduce the costs for data monitoring and distribution.

Key words: cloud computing, cloud monitoring, data aggregation, resource management

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