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Optimization for real-time, parallel execution of models for extracting high-value information from data streams

机译:优化模型的实时,并行执行以从数据流中提取高价值信息

摘要

A computer system identifies high-value information in data streams. The computer system receives a filter graph definition. The filter graph definition includes a plurality of filter nodes, each filter node including one or more filters that accept or reject packets. Each respective filter is categorized by a number of operations, and the one or more filters are arranged in a general graph. The computer system performs one or more optimization operations, including: determining if a closed circuit exists within the graph, and when the closed circuit exists within the graph, removing the closed circuit; reordering the filters based at least in part on the number of operations; and parallelizing the general graph such that the one or more filters are configured to be executed on one or more processors.
机译:计算机系统识别数据流中的高价值信息。该计算机系统接收过滤器图形定义。过滤器图形定义包括多个过滤器节点,每个过滤器节点包括一个或多个接受或拒绝数据包的过滤器。每个相应的过滤器按多种操作进行分类,并且一个或多个过滤器排列在一般图中。所述计算机系统执行一个或多个优化操作,包括:确定所述图内是否存在闭路,以及当所述图内存在所述闭路时,去除所述闭路;至少部分地根据操作数量对过滤器重新排序;并行化所述通用图,使得所述一个或多个过滤器被配置为在一个或多个处理器上执行。

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