EdgeNet:通过地方行动传播的全球云

Justin Cappos, Matt Hemmings, R. McGeer, Albert Rafetseder, Glenn Ricart
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引用次数: 13

摘要

EdgeNet已经从云计算的进步和诸如PlanetLab、GENI、G-Lab、SAVI和V-Node这样的分布式系统的成功中获得了信息:大量的小型存在点,设计用于部署高度分布式的实验和应用程序。EdgeNet与它的前辈在两个重要方面有所不同:首先,它是一个纯软件基础设施,每个工作节点都被设计成在本地站点的现有硬件上部分或全职运行;其次,它使用现代的工业标准软件作为节点代理和控制框架。第一个创新允许快速和无限制的扩展:GENI和PlanetLab需要在每个站点安装和维护专用硬件,而EdgeNet只需要下载软件,一个节点可以在15分钟内添加到EdgeNet基础设施中。第二种提供性能、维护和培训方面的好处;而不是维护定制的内核和控制框架,并开发使用后者的培训材料,我们能够驾驭开源和行业发展的浪潮,以及为行业标准控制框架开发的大量行业和社区教程材料。其结果是一个全局的Kubernetes集群,其中Docker容器的pod在每个存在点形成服务实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EdgeNet: A Global Cloud That Spreads by Local Action
EdgeNet has been informed by the advances of cloud computing and the successes of such distributed systems as PlanetLab, GENI, G-Lab, SAVI, and V-Node: a large number of small points-of-presence, designed for the deployment of highly distributed experiments and applications. EdgeNet differs from its predecessors in two significant areas: first, it is a software-only infrastructure, where each worker node is designed to run part-or full-time on existing hardware at the local site; and, second, it uses modern, industry-standard software both as the node agent and the control framework. The first innovation permits rapid and unlimited scaling: whereas GENI and PlanetLab required the installation and maintenance of dedicated hardware at each site, EdgeNet requires only a software download, and a node can be added to the EdgeNet infrastructure in 15 minutes. The second offers performance, maintenance, and training benefits; rather than maintaining bespoke kernels and control frameworks, and developing training materials on using the latter, we are able to ride the wave of open-source and industry development, and the plethora of industry and community tutorial materials developed for industry standard control frameworks. The result is a global Kubernetes cluster, where pods of Docker containers form the service instances at each point of presence.
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