Live Demonstration of Service Function Chaining allocation in Fog Computing

José Santos, T. Wauters, B. Volckaert, F. Turck
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引用次数: 1

Abstract

In recent years, cloud computing is evolving towards a distributed paradigm called Fog Computing, aiming to provide a distributed infrastructure by placing computational resources close to end-users. To fully leverage on Fog Computing, proper resource allocation is needed to cope with the demanding constraints introduced by IoT (e.g. low latency, high mobility). One of the main challenges that remain is Service Function Chaining (SFC). Services must be connected in a specific order forming an SFC allowing providers to benefit from the high flexibility and low operational costs introduced by network softwarization. In the demonstration, an SFC controller able to optimize the placement of service chains in Fog-cloud environments will be presented. The SFC controller has been implemented on the Kubernetes platform, an open-source orchestrator for the automatic deployment of micro-services. Our approach allows Kubernetes to deploy micro-services based on up-to-date information on the current status of the network infrastructure. The demonstration will show how application developers could use our approach to set up service chains for their services. Then, performance outcomes of our SFC controller will be shown, especially in terms of container deployment times.
雾计算中业务功能链分配的现场演示
近年来,云计算正在向一种称为雾计算的分布式范式发展,旨在通过将计算资源放置在接近最终用户的位置来提供分布式基础设施。为了充分利用雾计算,需要适当的资源分配来应对物联网引入的苛刻限制(例如低延迟,高移动性)。仍然存在的主要挑战之一是服务功能链(SFC)。服务必须按照特定的顺序连接,形成SFC,使提供商能够从网络软件化带来的高灵活性和低运营成本中受益。在演示中,将展示一个能够优化雾云环境中服务链布局的SFC控制器。SFC控制器已经在Kubernetes平台上实现,Kubernetes是一个用于自动部署微服务的开源编排器。我们的方法允许Kubernetes基于网络基础设施当前状态的最新信息部署微服务。该演示将展示应用程序开发人员如何使用我们的方法为其服务建立服务链。然后,将显示SFC控制器的性能结果,特别是在容器部署时间方面。
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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