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Data driven decision making for application support

机译:数据驱动的决策支持应用程序

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This paper discusses the design of a solution to enable data driven decision making for application support. The design proposes a novel standard for logging within applications. The next phase of the design proposes a novel method to use the standardized logs to map the functioning of an application to a finite state automata. The analytics proposed in the design helps understand issues during application processing, assess the impact of issues and quickly take decisions to resolve the issues. Big data analytics and probabilistic models are used on the historical application logs to further predict issues prior to their occurrence, assess the health of application functioning and be able to proactively act on situations that can lead to errors.
机译:本文讨论了一种解决方案的设计,该解决方案使数据驱动的决策支持应用程序成为可能。该设计提出了一种用于在应用程序内进行日志记录的新颖标准。设计的下一阶段提出了一种使用标准化日志将应用程序的功能映射到有限状态自动机的新颖方法。设计中提出的分析有助于在应用程序处理过程中理解问题,评估问题的影响并快速做出决定以解决问题。大数据分析和概率模型用于历史应用程序日志,以在问题发生之前进一步预测问题,评估应用程序运行状况,并能够主动对可能导致错误的情况采取行动。

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