论文标题

Ainur:可重复的端到端无线边缘计算测试台研究的框架

Ainur: A Framework for Repeatable End-to-End Wireless Edge Computing Testbed Research

论文作者

Muñoz, Manuel Olguín, Mostafavi, Seyed Samie, Moothedath, Vishnu N., Gross, James

论文摘要

在过去十年中,关于无线网络与边缘和云计算结合的实验研究一直是爆炸性兴趣的主题。这一开发是由现代无线技术的复杂性日益复杂的驱动,以及通过诸如开放无线电访问网络(O-RAN)等项目对这些发展的广泛软质量。在这种情况下,在新型的移动通信技术(例如5G and-5G)的背景下,采用了各种技术来针对各种各样的用例和场景,因此已经出现了许多小型测试台。但是,很少有工作尚未致力于为无线测试床自动化开发标准框架,该框架是硬件 - 敏捷的,并且与边缘和云本地技术兼容。这样的解决方案将通过完全或部分删除自定义管理和编排软件的要求来简化新测试床的开发。 在本文中,我们介绍了第一个这样的主要是硬件无关的无线测试床自动化框架Ainur。它旨在从端到端的角度进行配置,管理,编排和部署工作负载。 Ainur是建立在诸如Docker之类的云端技术之上的,并通过Github上的KTH-Expeca/Ainur存储库作为FOSS提供给社区。我们通过一系列场景演示了平台的实用性,特别是它在物理链路定义,计算放置以及任意复杂的实验场景的自动化方面的灵活性。

Experimental research on wireless networking in combination with edge and cloud computing has been the subject of explosive interest in the last decade. This development has been driven by the increasing complexity of modern wireless technologies and the extensive softwarization of these through projects such as a Open Radio Access Network (O-RAN). In this context, a number of small- to mid-scale testbeds have emerged, employing a variety of technologies to target a wide array of use-cases and scenarios in the context of novel mobile communication technologies such as 5G and beyond-5G. Little work, however, has yet been devoted to developing a standard framework for wireless testbed automation which is hardware-agnostic and compatible with edge- and cloud-native technologies. Such a solution would simplify the development of new testbeds by completely or partially removing the requirement for custom management and orchestration software. In this paper, we present the first such mostly hardware-agnostic wireless testbed automation framework, Ainur. It is designed to configure, manage, orchestrate, and deploy workloads from an end-to-end perspective. Ainur is built on top of cloud-native technologies such as Docker, and is provided as FOSS to the community through the KTH-EXPECA/Ainur repository on GitHub. We demonstrate the utility of the platform with a series of scenarios, showcasing in particular its flexibility with respect to physical link definition, computation placement, and automation of arbitrarily complex experimental scenarios.

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