SHMA:一种云平台的监控框架
发布时间：2019-01-20 08:11
【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。
[Abstract]:Because of the complexity of cloud platform architecture and the unpredictability of workload, cloud monitoring plays an important role in ensuring the high availability of cloud platform. Diversity and huge scale of resources bring some difficulties to cloud platform monitoring. In this paper, a cloud platform-oriented scalable multi-level monitoring framework (SHMA,SHMA) is proposed, which uses the micro-service architecture to construct the extensible and independent service components in the monitoring system, and realizes the application services at different levels of the cloud platform. Monitor middleware and infrastructure resources. The effectiveness of the monitoring framework is verified by a case study of an integrated disaster reduction spatial information service application system which is deployed and run on the cloud platform of CloudStack infrastructure.
【作者单位】： 武汉大学软件工程国家重点实验室;武汉大学计算机学院;
【基金】：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 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)
【分类号】：TP393.09
，
本文编号：2411818
[Abstract]:Because of the complexity of cloud platform architecture and the unpredictability of workload, cloud monitoring plays an important role in ensuring the high availability of cloud platform. Diversity and huge scale of resources bring some difficulties to cloud platform monitoring. In this paper, a cloud platform-oriented scalable multi-level monitoring framework (SHMA,SHMA) is proposed, which uses the micro-service architecture to construct the extensible and independent service components in the monitoring system, and realizes the application services at different levels of the cloud platform. Monitor middleware and infrastructure resources. The effectiveness of the monitoring framework is verified by a case study of an integrated disaster reduction spatial information service application system which is deployed and run on the cloud platform of CloudStack infrastructure.
【作者单位】： 武汉大学软件工程国家重点实验室;武汉大学计算机学院;
【基金】：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 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)
【分类号】：TP393.09
，
本文编号：2411818
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