比热启动更冷,比冷启动更热!体验FaaS提供程序中的刷出开始

S. Ristov, Christian Hollaus, Mika Hautz
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引用次数: 6

摘要

许多研究人员报告说,当第一次调用无服务器函数时,会出现长达几秒钟的相当大的延迟。这种现象被称为冷启动,当用户运行工作流中编排的多个无服务器功能时影响更大。然而,在许多情况下,用户需要立即生成大量无服务器函数,通常作为并行循环的一部分。在本文中,我们介绍了衍生启动,并分析了三个功能即服务(FaaS)提供商AWS Lambda、Google Cloud Functions和IBM Cloud Functions在运行并行循环时的行为,包括热启动和冷启动。我们进行了一系列的实验,并观察到三个对研究界有益的见解。首先,与热启动相比,IBM Cloud Functions上的冷启动最多延迟2s,与刷出启动相比可以忽略不计,因为后者会产生额外的20s延迟。其次,Google Cloud Functions的冷启动比相同的无服务器功能的热启动“更温暖”。最后,虽然Google Cloud Functions和IBM Cloud Functions运行相同的无服务器功能,但其低并发性比AWS Lambda更快,但Google Cloud Functions和IBM Cloud Functions的衍生启动效应使AWS成为衍生大量无服务器功能的首选提供商。
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Colder Than the Warm Start and Warmer Than the Cold Start! Experience the Spawn Start in FaaS Providers
Many researchers reported considerable delay of up to a few seconds when invoking serverless functions for the first time. This phenomenon, which is known as a cold start, affects even more when users are running multiple serverless functions orchestrated in a workflow. However, in many cases users need to instantly spawn numerous serverless functions, usually as a part of parallel loops. In this paper, we introduce the spawn start and analyze the behavior of three Function-as-a-Service (FaaS) providers AWS Lambda, Google Cloud Functions, and IBM Cloud Functions when running parallel loops, both as warm and cold starts. We conducted a series of experiments and observed three insights that are beneficial for the research community. Firstly, cold start on IBM Cloud Functions, which is up to 2s delay compared to the warm start, is negligible compared to the spawn start because the latter generates additional 20s delay. Secondly, Google Cloud Functions' cold start is "warmer" than the warm start of the same serverless function. Finally, while Google Cloud Functions and IBM Cloud Functions run the same serverless function with low concurrency faster than AWS Lambda, the spawn start effect on Google Cloud Functions and IBM Cloud Functions makes AWS the preferred provider when spawning numerous serverless functions.
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