Flow: A Stream Processing System Simulator

Alfred Park, Cheng-Hong Li, R. Nair, N. Ohba, U. Shvadron, A. Zaks, E. Schenfeld
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引用次数: 5

Abstract

Stream processing is an important emerging computational model for performing complex operations on and across multi-source, high volume, unpredictable dataflows. We present Flow, a platform for parallel and distributed stream processing system simulation that provides a flexible modeling environment for analyzing stream processing applications. The Flow stream processing system simulator is a high performance, scalable simulator that automatically parallelizes chunks of the model space and incurs near zero synchronization overhead for stream application graphs that exhibit feed-forward behavior. We show promising multi-threaded and multi-process event rates exceeding 80 million events per second on a cluster with 256 processor cores.
流:一个流处理系统模拟器
流处理是一种重要的新兴计算模型,用于在多源、大容量、不可预测的数据流上执行复杂操作。我们提出了Flow,一个并行和分布式流处理系统仿真平台,为分析流处理应用提供了灵活的建模环境。流处理系统模拟器是一个高性能、可扩展的模拟器,它可以自动并行化模型空间的块,并为显示前馈行为的流应用程序图带来接近零的同步开销。我们展示了在具有256个处理器内核的集群上超过每秒8000万事件的多线程和多进程事件率。
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