Seamless Multi-Access Edge Computing Application Handover Experiments

Pablo Fondo-Ferreiro, Alberto Estévez-Caldas, Rubén Pérez-Vaz, F. Gil-Castiñeira, F. González-Castaño, Santiago Rodríguez-García, Xosé Ramón Sousa-Vázquez, D. López, Carmen Guerrero
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引用次数: 6

Abstract

Multi-Access Edge Computing (MEC) is one of the fundamental technologies committed to satisfy the requirements targeted by 5G and beyond networks, such as low latency and massive communications. Nevertheless, deploying a large-scale MEC infrastructure will require a huge investment that should be minimized by optimizing the resources at edge locations, and to use centralized datacenters when possible. Thus, automated orchestration is essential for implementing mechanisms that deploy applications at the best location and even that relocate them, when necessary, to satisfy the Quality of Service (QoS) requirements. In this paper we describe an architecture for this purpose, which we have implemented in an experiment that demonstrates how Open Source MANO (OSM) can automate the relocation of a video processing application that helps drivers to remember the latest traffic sign viewed. Our proposal also includes two new components: the first one maintains the state of the applications when they are deployed at a new location, and the second one allows OSM managing the Open Network Edge Services Software (OpenNESS) edge platform. Finally, we elaborate on open challenges in MEC platforms.
无缝多址边缘计算应用切换实验
多接入边缘计算(MEC)是致力于满足5G及以后网络目标需求的基础技术之一,例如低延迟和大规模通信。然而,部署大规模MEC基础设施将需要巨大的投资,应该通过优化边缘位置的资源来最大限度地减少投资,并在可能的情况下使用集中式数据中心。因此,自动化编排对于实现在最佳位置部署应用程序甚至在必要时重新部署应用程序以满足服务质量(QoS)需求的机制至关重要。在本文中,我们描述了一个用于此目的的架构,我们已经在一个实验中实现了该架构,该实验演示了开源MANO (OSM)如何自动重新定位视频处理应用程序,该应用程序可以帮助驾驶员记住最近看到的交通标志。我们的提案还包括两个新组件:第一个组件在部署到新位置时维护应用程序的状态,第二个组件允许OSM管理开放网络边缘服务软件(Open Network Edge Services Software, OpenNESS)边缘平台。最后,我们详细阐述了MEC平台中的开放式挑战。
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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