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SHMA:一种云平台的监控框架
引用本文:陈林,应时,贾向阳.SHMA:一种云平台的监控框架[J].计算机科学,2017,44(1):7-12, 36.
作者姓名:陈林  应时  贾向阳
作者单位:武汉大学软件工程国家重点实验室 武汉430072武汉大学计算机学院 武汉430072,武汉大学软件工程国家重点实验室 武汉430072武汉大学计算机学院 武汉430072,武汉大学软件工程国家重点实验室 武汉430072武汉大学计算机学院 武汉430072
基金项目:本文受国家自然科学基金面上项目:面向性能改善的SaaS软件部署方案自优化方法(61373038),国家863高技术研究发展计划:网构化软件运行支撑和在线管理技术与机制(2012AA011204-01),国家自然科学基金重点项目:可信软件构造理论与方法研究(91118003)资助
摘    要:由于云平台架构的复杂性和工作负载的不可预测性,云监控对保证云平台的高可用性有重要意义,云平台上资源的动态性、多样性以及资源规模巨大给云平台监控带来了一定的困难。研究并提出一种面向云平台的可扩展多层次监控框架SHMA,SHMA采用微服务架构构建监控系统中可扩展的各个相互独立的服务组件,实现对云平台不同层次的应用服务、中间件和基础设施资源的监控。通过对部署并运行在CloudStack基础设施云平台上的某综合减灾空间信息服务应用系统进行案例分析,验证了该监控框架的有效性。

关 键 词:云监控  微服务  可扩展  多层次
收稿时间:2015/12/7 0:00:00
修稿时间:2016/1/20 0:00:00

SHMA:Monitoring Architecture for Clouds
CHEN Lin,YING Shi and JIA Xiang-yang.SHMA:Monitoring Architecture for Clouds[J].Computer Science,2017,44(1):7-12, 36.
Authors:CHEN Lin  YING Shi and JIA Xiang-yang
Affiliation:State Key Lab of Software Engineering,Wuhan University,Wuhan 430072,ChinaComputer School,Wuhan University,Wuhan 430072,China,State Key Lab of Software Engineering,Wuhan University,Wuhan 430072,ChinaComputer School,Wuhan University,Wuhan 430072,China and State Key Lab of Software Engineering,Wuhan University,Wuhan 430072,ChinaComputer School,Wuhan University,Wuhan 430072,China
Abstract:Monitoring plays a significant role in ensuring the availability of cloud computing,because of the complex architecture of cloud and the unpredictability of workload.It provides the real-time monitoring data,the status of the running system,and helps to discover the defects and optimize system performance.However,due to the heterogeneity of cloud,the resources on cloud are often dynamic,diverse and enormous scale,which bring about a great challenge for cloud monitoring.To solve this problem,we proposed a scalable and hierarchical monitoring architecture for clouds (SHMA).SHMA uses microservices to create each independent component of the scalable monitoring system.It realizes the goal of offering cloud providers and cloud consumers to have an overview of the resources on three levels of clouds,including the runtime information of application services,middleware and infrastructure.Finally,we used a case of comprehensive disaster reduction system on CloudStack to evaluate the effectiveness of the architecture.
Keywords:Cloud monitoring  Microservices  Scalable  Hierarchical
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