不安分的云

Nathan Pemberton, Johann Schleier-Smith, Joseph Gonzalez
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引用次数: 3

摘要

云提供商api已经成为构成公共云的仓库级计算机的实际操作系统接口。与单服务器操作系统一样,它们为这些大型机器提供资源分配、保护、通信路径、命名和调度。云提供商的api还提供了各种操作系统所不具备的功能,比如大数据分析、机器学习模型培训或工厂自动化。隐藏在这一系列服务之中的某个地方,有一个操作系统接口,可以连接到真正的大型计算机,即今天的应用程序开发人员所瞄准的计算机。这台计算机的工作方式一点也不像一台单独的服务器,但它也不像互联网那样是一个分散的分布式系统。它是介于两者之间的东西。现在是时候从众多的云提供商api中提炼出一个一致的“云系统接口”了,最好是一个可移植的接口。在本文中,我们将讨论什么可以进入,什么不能进入,以及为这些决策提供信息的原则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The RESTless cloud
Cloud provider APIs have emerged as the de facto operating system interface for the warehouse scale computers that comprise the public cloud. Like single-server operating systems, they provide the resource allocation, protection, communication paths, naming, and scheduling for these large machines. Cloud provider APIs also provide all sorts of things that operating systems do not, things like big data analytics, machine learning model training, or factory automation. Somewhere, lurking within this menagerie of services, there is an operating system interface to a really big computer, the computer that today's application developers target. This computer works nothing like a single server, yet it also isn't a dispersed distributed system like the internet. It is something in-between. Now is the time to distill and refine a coherent "cloud system interface" from the multitude of cloud provider APIs, preferably a portable one. In this paper we discuss what goes in, what stays out, and the principles that inform these decisions.
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