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OPERATOR GRAPH CHANGES IN RESPONSE TO DYNAMIC CONNECTIONS IN STREAM COMPUTING APPLICATIONS

机译:运算在动态计算应用中对动态连接的响应

摘要

A stream computing application may permit one job to connect to a data stream of a different job. As more and more jobs dynamically connect to the data stream, the connections may have a negative impact on the performance of the job that generates the data stream. Accordingly, a variety of metrics and statistics (e.g., CPU utilization or tuple rate) may be monitored to determine if the dynamic connections are harming performance. If so, the stream computing system may be optimized to mitigate the effects of the dynamic connections. For example, particular operators may be unfused from a processing element and moved to a compute node that has available computing resources. Additionally, the stream computing application may clone the data stream in order to distribute the workload of transmitting the data stream to the connected jobs.
机译:流计算应用程序可以允许一个作业连接到另一个作业的数据流。随着越来越多的作业动态连接到数据流,这些连接可能会对生成数据流的作业的性能产生负面影响。因此,可以监视各种度量和统计数据(例如,CPU利用率或元组速率)以确定动态连接是否正在损害性能。如果是这样,则可以优化流计算系统以减轻动态连接的影响。例如,可以将特定的运算符从处理元素上解开,然后移动到具有可用计算资源的计算节点上。另外,流计算应用可以克隆数据流,以便分配将数据流传输到所连接的作业的工作量。

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