S4:分布式流计算平台

L. Neumeyer, B. Robbins, Anish Nair, Anand Kesari
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引用次数: 968

摘要

S4是一种通用的、分布式的、可扩展的、部分容错的、可插拔的平台,它允许程序员轻松地开发用于处理连续无界数据流的应用程序。关键数据事件与处理元素(Processing element, pe)的关联被路由,处理元素使用事件并执行以下一项或两项操作:(1)发出一个或多个事件,这些事件可能被其他pe使用;(2)发布结果。该体系结构类似于Actors模型,提供封装语义和位置透明性,从而允许应用程序大规模并发,同时向应用程序开发人员公开一个简单的编程接口。在本文中,我们详细概述了S4架构,描述了各种应用程序,包括实际部署。我们的设计主要是由生产环境中的大规模数据挖掘和机器学习应用程序驱动的。我们展示了S4的设计具有惊人的灵活性,可以在使用普通硬件构建的大型集群中运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
S4: Distributed Stream Computing Platform
S4 is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continuous unbounded streams of data. Keyed data events are routed with affinity to Processing Elements (PEs), which consume the events and do one or both of the following: (1) emit one or more events which may be consumed by other PEs, (2) publish results. The architecture resembles the Actors model, providing semantics of encapsulation and location transparency, thus allowing applications to be massively concurrent while exposing a simple programming interface to application developers. In this paper, we outline the S4 architecture in detail, describe various applications, including real-life deployments. Our design is primarily driven by large scale applications for data mining and machine learning in a production environment. We show that the S4 design is surprisingly flexible and lends itself to run in large clusters built with commodity hardware.
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