Latest advances in information technology and the widespread growth in different areas are producing large amounts of data. Consequently, in the past decade a large number of distributed platforms for storing and processing large datasets have been proposed. Whether in development or in production, monitoring the applications running on these platforms is not an easy task, dedicated tools and platforms were proposed for this task yet none are specially designed for Big Data frameworks. In this paper we present a distributed, scalable, highly available platform able to collect, store, query and process monitoring data obtained from multiple Big Data frameworks. Alongside the architecture we experimentally show that the solution proposed is scalable and can handle a substantial quantity of monitoring data.

中文翻译：

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用于监视数据密集型应用程序的可扩展平台

信息技术的最新进展以及不同领域的广泛发展正在产生大量数据。因此，在过去的十年中，已经提出了许多用于存储和处理大型数据集的分布式平台。无论是在开发中还是在生产中，监视在这些平台上运行的应用程序都不是一件容易的事，为此任务提出了专用的工具和平台，但没有专门针对大数据框架设计的工具和平台。在本文中，我们提供了一个分布式的，可扩展的，高度可用的平台，该平台能够收集，存储，查询和处理从多个大数据框架获得的监视数据。除了该架构外，我们还通过实验证明了所提出的解决方案具有可扩展性，并且可以处理大量监视数据。