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Potential Bottleneck and Measuring Performance of Serverless Computing: A Literature Study

机译:无服务器计算的潜在瓶颈和性能评估:一项文献研究

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Trending form of cloud computing is Serverless computing, where developer just needs to focus on his code rather than worrying about server management. In serverless computing, application is nothing but collection of one or more functions, written for specific business functionality, which triggers on an event. There are various cloud service providers, i.e. Amazon, Microsoft, Google, IBM, etc. who provide serverless services, on pay as you use and auto scalable solution to execute the application code as a function. The developer just needs to upload the code for execution. The performance of the serverless computing may vary due to dynamic configuration of the solution, technologies and different technology used by the service provider.This paper reviews various past and recent work in the serverless computing to identify possible bottlenecks and the scope of measuring performance of serverless computing. It will also put some light to leverage machine learning in various possible ways to do performance engineering for future research.
机译:云计算的趋势形式是无服务器计算,开发人员只需要专注于自己的代码,而不用担心服务器管理。在无服务器计算中,应用程序不过是针对特定业务功能编写的一个或多个功能的集合,这些功能会在事件中触发。有各种各样的云服务提供商,即Amazon,Microsoft,Google,IBM等,它们提供无服务器服务,这些服务是按需付费的,并使用可自动扩展的解决方案来按功能执行应用程序代码。开发人员只需上传代码即可执行。由于解决方案的动态配置,技术以及服务提供商使用的不同技术,无服务器计算的性能可能会有所不同。本文回顾了无服务器计算的过去和最近的工作,以确定可能的瓶颈和无服务器性能的衡量范围计算。它还将为以各种可能的方式利用机器学习进行性能工程以进行未来研究提供一些启示。

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