文献类型：期刊文献

英文题名：JTangCMS: An efficient monitoring system for cloud platforms

作者：Lu, Xingjian[1,2];Yin, Jianwei[2];Xiong, Neal N.[3,4,5];Deng, Shuiguang[2];He, Gaoqi[1];Yu, Huiqun[1]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]Zhejiang Univ, Coll Comp Sci & Technol, Hangzhou 310027, Zhejiang, Peoples R China;[3]Univ Shanghai Sci & Technol, Shanghai Key Lab Modern Opt Syst, Shanghai 200093, Peoples R China;[4]Univ Shanghai Sci & Technol, Minist Educ, Engn Res Ctr Opt Instrument & Syst, Shanghai 200093, Peoples R China;[5]Southwestern Oklahoma State Univ, Dept Business & Comp Sci, Weatherford, OK 73096 USA

年份：2016

卷号：370

起止页码：402

外文期刊名：INFORMATION SCIENCES

收录：;EI(收录号：20163302709227);WOS:【SCI-EXPANDED(收录号:WOS:000389399600027)】；

基金：This work was partially supported by the NSF of China under grant (No. 61272129), the National Science and Technology Supporting Program of China (NO. 2015BAH18F02), the Fundamental Research Funds for the Central Universities under Grant (No. 222201514331), and the China Postdoctoral Science Foundation (No. 2016M591617).

语种：英文

外文关键词：Cloud monitoring; Data distribution service; Complex event processing

摘要：Cloud computing has attracted increasing interest in industry and academia. However, due to the constantly expanding scale of cloud platforms, the monitoring of clouds encounters a number of critical challenges related to flexibility, scalability, efficiency, and performance. In this paper, we present JRang Cloud Monitoring System (JTangCMS), an efficient monitoring system for cloud platforms. Our contributions cover the collection, delivery, and processing of monitoring data. For data collection, a flexible and scalable agent is implemented with pluggable monitoring components to collect runtime information from different entities. For data delivery, an efficient and robust data dissemination framework is implemented to transmit the runtime information reliably with high throughput and low latency, based on the Data Distribution Service (DDS). For data processing, a cloud action platform is developed to support cloud management decision-making, based on complex event processing (CEP). Finally, detailed experimental evaluations show the feasibility and efficiency of JTangCMS. (C) 2016 Elsevier Inc. All rights reserved.