Towards a monitoring feedback loop for cloud applications

Towards a monitoring feedback loop for cloud applications
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建立云应用程序的监控反馈循环

DOI:
10.1145/2462326.2462336
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发表时间:
2013
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性能监控是跟踪云应用程序运行状况和服务级别协议合规性的基础,但随着多云部署的出现,在多云中的运行时操作和设计时推理之间创建反馈循环也变得越来越重要。这是因为开发人员需要获得有关云平台特定性能特征的更多信息,以更好地利用其特性。为了支持这一目标,我们开发了一组开源组件,这些组件使用JMX从目标Java应用程序中提取服务质量(QoS)数据,将其聚合到时间序列数据库中,最后在原型Java仪表板中交付,该仪表板可以集成在开发环境(如Eclipse)中,以显示实时或历史QoS数据。该体系结构不仅限于收集,聚合和显示的QoS数据,但它也允许使用性能树图形语言表示的分层查询的评估。我们的意图是,这将为开发人员提供一个独立于云的统一接口来指定监控查询。初步评估表明,MongoDB上的Cube为该应用程序提供了适当的可扩展性。
Performance monitoring is fundamental to track cloud application health and service-level agreement compliance, but with the emergence of multi-cloud deployments, it may become increasingly important also to create a feedback loop between runtime operation in multi-clouds and design-time reasoning. This is because the developer needs to acquire more information on the specific performance features of a cloud platform to better leverage its specificities.To support this goal, we have developed a set of open source components that extract quality-of-service (QoS) data from a target Java application using JMX, aggregate it in a time-series database, and finally deliver it in a prototype Java dashboard that may be integrated in a development environment, such as Eclipse, to display either live or historical QoS data. The architecture is not only limited to collection, aggregation, and display of QoS data, but it also allows the evaluation of hierarchical queries expressed using the Performance Trees graphical language. It is our intention that this will provide a cloud-independent uniform interface for developers to specify monitoring queries. Initial evaluation suggests that Cube on MongoDB provides appropriate scalability for this application.
工程并行、分布式和网格计算
DOI: 10.4203/csets.21.15
发表时间: 1970
期刊: Molecular medicine today
影响因子: --
作者:
N. Croft
通讯作者: N. Croft
DOI: 10.4203/csets.21.9
发表时间: 2009
期刊: Molecular medicine today
影响因子: --
作者:
Tamas Suto
通讯作者: Tamas Suto