Low Latency Stream Processing: Apache Heron with Infiniband & Intel Omni-Path

Supun Kamburugamuve, K. Ramasamy, M. Swany, G. Fox
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引用次数: 14

Abstract

Worldwide data production is increasing both in volume and velocity, and with this acceleration, data needs to be processed in streaming settings as opposed to the traditional store and process model. Distributed streaming frameworks are designed to process such data in real time with reasonable time constraints. Apache Heron is a production-ready large-scale distributed stream processing framework. The network is of utmost importance to scale streaming applications to large numbers of nodes with a reasonable latency. High performance computing (HPC) clusters feature interconnects that can perform at higher levels than traditional Ethernet. In this paper the authors present their findings on integrating Apache Heron distributed stream processing system with two high performance interconnects; Infiniband and Intel Omni-Path and show that they can be utilized to improve performance of distributed streaming applications.
低延迟流处理:Apache Heron与Infiniband和Intel Omni-Path
世界范围内的数据生产在数量和速度上都在增加,随着这种加速,数据需要在流设置中处理,而不是传统的存储和处理模型。分布式流框架旨在在合理的时间限制下实时处理此类数据。Apache Heron是一个生产就绪的大规模分布式流处理框架。网络对于将流应用程序扩展到具有合理延迟的大量节点至关重要。高性能计算(HPC)集群的特点是可以实现比传统以太网更高级别的互连。本文介绍了Apache Heron分布式流处理系统与两个高性能互连的集成研究成果;Infiniband和Intel Omni-Path,并表明它们可以用来提高分布式流应用程序的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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