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Resilient analytical model in a data streaming application

机译:数据流应用程序中的弹性分析模型

摘要

An approach for restoring an analytical model in a data streaming application which involves creating a plurality of data buffers for holding data submitted to the data streaming application, wherein the data streaming application comprises a first analytical model, persisting one or more parameters and/or internal state variables associated with the first analytical model, persisting the plurality of data buffers, retrieving a plurality of persisted data buffers and the one or more parameters and/or internal state variables responsive to a failure of the data streaming application, creating a second analytical model associated with the data streaming application and initializing the second analytical model with the one or more parameters and/or more internal state variables, and submitting data, associated with the plurality of persisted data buffers, to the data streaming application for training the second analytical model to be a close approximation of the first analytical model.
机译:一种用于在数据流应用中恢复分析模型的方法,该方法包括创建多个数据缓冲区以保存提交给该数据流应用的数据,其中该数据流应用包括第一分析模型,该模型保留一个或多个参数和/或内部与第一分析模型相关联的状态变量,持久化多个数据缓冲区,响应于数据流应用程序的故障,检索多个持久化数据缓冲区以及一个或多个参数和/或内部状态变量,创建第二分析模型与数据流应用程序相关联,并使用一个或多个参数和/或多个内部状态变量初始化第二分析模型,并将与多个持久数据缓冲区相关联的数据提交给数据流应用程序以训练第二分析模型近似于第一个分析模型。

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