Application Deployment Strategies for Reducing the Cold Start Delay of AWS Lambda

Q1 Computer Science

IEEE Cloud Computing Pub Date : 2022-07-01 DOI:10.1109/CLOUD55607.2022.00016

Jaime Dantas, Hamzeh Khazaei, Marin Litoiu

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引用次数: 2

Abstract

Serverless computing has emerged in recent years as the new computing paradigm adopted by key players in the industry for software development. This new paradigm has seen rapid growth in adoption due to its unique billing model and scaling characteristics. Public cloud providers such as Amazon Web Services (AWS) offer several configurations and language runtimes for their serverless functions. Although extensively explored by the research community, this field still lacks current studies that address the many challenges developers face when leveraging serverless functions for real-world applications. One of these challenges that are often overseen by many programmers is the cold start problem which is present in any serverless application. For this reason, we propose the first study to characterize the underlying cold start impacts caused by the choice of language runtime, application size, memory size and deployment type on AWS Lambda. In this paper, we analyze the performance of the container-based deployment and ZIP-based deployment of AWS Lambda using a variety of language runtimes and applications running with different function configurations; then we propose guidelines for developers and cloud managers to consider when deploying/managing the workloads on the cloud.

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减少AWS Lambda冷启动延迟的应用部署策略

近年来，无服务器计算作为软件开发行业的主要参与者所采用的新计算范式而出现。由于其独特的计费模式和可扩展性，这种新模式的采用速度很快。Amazon Web Services (AWS)等公共云提供商为其无服务器功能提供了几种配置和语言运行时。尽管研究社区对该领域进行了广泛的探索，但目前仍缺乏解决开发人员在将无服务器功能用于实际应用程序时所面临的许多挑战的研究。其中一个经常被许多程序员忽视的挑战是冷启动问题，它存在于任何无服务器应用程序中。出于这个原因，我们提出了第一个研究，以表征在AWS Lambda上选择语言运行时、应用程序大小、内存大小和部署类型所造成的潜在冷启动影响。在本文中，我们分析了基于容器部署和基于zip部署的AWS Lambda使用各种语言运行时和应用程序以不同的功能配置运行的性能;然后，我们为开发人员和云管理人员在云上部署/管理工作负载时提出了一些指导方针。

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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来源期刊

IEEE Cloud Computing Computer Science-Computer Networks and Communications

CiteScore

11.20

自引率

0.00%

发文量

期刊介绍： Cessation. IEEE Cloud Computing is committed to the timely publication of peer-reviewed articles that provide innovative research ideas, applications results, and case studies in all areas of cloud computing. Topics relating to novel theory, algorithms, performance analyses and applications of techniques are covered. More specifically: Cloud software, Cloud security, Trade-offs between privacy and utility of cloud, Cloud in the business environment, Cloud economics, Cloud governance, Migrating to the cloud, Cloud standards, Development tools, Backup and recovery, Interoperability, Applications management, Data analytics, Communications protocols, Mobile cloud, Private clouds, Liability issues for data loss on clouds, Data integration, Big data, Cloud education, Cloud skill sets, Cloud energy consumption, The architecture of cloud computing, Applications in commerce, education, and industry, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Business Process as a Service (BPaaS)