人行道:用于增强分布式数据处理流的轻量级带外通信设施

Yin Huai, Yuan Yuan, Rubao Lee, Xiaodong Zhang
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引用次数: 0

摘要

运行在大型集群上的数据处理引擎的基础是它的编程模型,该模型定义了数据处理操作和数据移动。带外通信是一种特殊的通信活动,通常在编程模型中没有定义,但在系统开发中经常以特别的方式使用。现有的带外通信的临时解决方案通常难以重用,容易出错,并且没有不必要的副作用。为了解决这些问题,我们设计并实现了一个独立的带外通信设施,称为SideWalk。有了这个功能,用户可以通过一组可重用的api将带外通信操作添加到他们的分布式数据流中。这些api具有良好定义的语义,因此,用户使用SideWalk编写容易出错的程序的机会被最小化。为了防止用户在使用人行道时引入不必要的副作用,我们对人行道进行了原型化,以有效地处理轻量级带外通信,并且我们限制了可以通过人行道进行的通信模式,而不会影响人行道在典型用例中的适用性。我们的实验结果表明,在Hadoop环境中使用SideWalk实现带外通信的分布式数据处理流的执行时间比使用具有代表性的ad hoc解决方案实现带外通信的分布式数据处理流的执行时间减少了1.53倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SideWalk: A Facility of Lightweight Out-of-Band Communications for Augmenting Distributed Data Processing Flows
The foundation of a data processing engine running on a large cluster is its programming model that defines data processing operations and data movements. A special kind of communication activities that are not normally defined in the programming model but are often used in ad hoc ways in system development, is called out-of-band communications. The existing ad hoc solutions of out-of-band communications are often hard to reuse, error-prone, and not free from unwanted side effects. To address these issues, we have designed and implemented a standalone facility of out-of-band communications called SideWalk. With this facility, users can add out-of-band communication operations into their distributed data flows through a set of reusable APIs. These APIs have well defined semantics and thus, users' chances of writing error-prone programs with SideWalk are minimized. To prevent users from introducing unwanted side effects while using SideWalk, we prototype SideWalk to efficiently handle lightweight out-of-band communications and we restrict communication patterns that can be conducted through SideWalk without affecting the applicability of SideWalk on typical use cases. Our experimental results show that execution times of distributed data processing flows in a Hadoop environment with out-of-band communications implemented with SideWalk are reduced up to 1.53 times compared with that of distributed data processing flows with out-of-band communications implemented with a representative ad hoc solution.
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