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Towards a framework for monitoring cloud application platforms as sensor networks

机译:建立一个框架来监视作为传感器网络的云应用程序平台

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With the continued growth in software environments on cloud application platforms, self-management at the Platform-as-a-Service (PaaS) level has become a pressing concern, and the run-time monitoring, analysis and detection of critical situations are all fundamental requirements if we are to achieve autonomic behaviour in complex PaaS environments. In this paper we focus on cloud application platforms offering their customers a range of generic built-in re-usable services. By identifying key characteristics of these complex dynamic systems, we compare cloud application platforms to distributed sensor networks, and investigate the viability of exploiting these similarities with a case study. We treat cloud data storage services as "virtual" sensors constantly emitting monitoring data, such as numbers of connections and storage space availability, which are then analysed by the central component of a monitoring framework so as to detect and react to SLA violations. We discuss the potential benefits, as well as some shortcomings, of adopting this approach.
机译:随着云应用平台上软件环境的持续增长,平台即服务(PaaS)级别的自我管理已成为迫切关注的问题,对关键情况的运行时监视,分析和检测都是至关重要的在复杂的PaaS环境中实现自主行为的要求。在本文中,我们专注于为客户提供一系列通用的内置可重用服务的云应用程序平台。通过确定这些复杂动态系统的关键特征,我们将云应用程序平台与分布式传感器网络进行了比较,并通过案例研究来研究利用这些相似性的可行性。我们将云数据存储服务视为不断发出监视数据(例如连接数和存储空间可用性)的“虚拟”传感器,然后由监视框架的中央组件对其进行分析,以检测并应对违反SLA的行为。我们讨论了采用这种方法的潜在好处以及一些缺点。

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