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Database Functionalities for Evolving Monitoring Applications

机译:数据库功能,用于不断发展的监控应用程序

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Databases are able to store, manage, and retrieve large amounts and a broad variety of data. However, the task of understanding and reacting to the data is often left to tools or user applications outside the database. As a consequence, monitoring applications are often relying on problem-specific imperative code for data analysis, scattering the application logic. This usually leads to island solutions which are hard to maintain, give raise to security and performance problems due to the separation of data storage and analysis. In this paper, we identify missing database functionalities which overcome these problems by allowing data processing on a higher level of abstraction. Such functionalities would allow to employ a database system even for the complex analysis tasks required in evolving monitoring scenarios.
机译:数据库能够存储,管理和检索大量和广泛的数据。但是,对数据的理解和反应的任务通常留给数据库外的工具或用户应用程序。因此,监视应用程序通常依赖于数据分析的问题特定的命令代码,分散应用程序逻辑。这通常导致难以维护的岛屿解决方案,由于数据存储和分析的分离,因此引起安全性和性能问题。在本文中,我们识别丢失的数据库功能,通过允许更高级别的抽象来允许数据处理来克服这些问题。即使对于不断发展的监控方案所需的复杂分析任务,此类功能允许使用数据库系统。

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