Microservice-Based Fog Testbed for 6G Applications

Ekaterina Kuzmina, Meriem Tefikova, A. Volkov, A. Muthanna, Abdelhamied A. Ateya, A. Koucheryavy
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Abstract

This paper provides a real-time fog computing model based on a microservice architecture that enables testing and modeling of eventual implementations of ultra-reliable low-latency communications (uRLLC) services. The work provides fog-based architecture for sixth-generation cellular (6G) applications, including telepresence and uRLLC. A testbed of a robot swarm was developed to prototype the proposed network architecture. Computing tasks are offloaded and handled based on a proposed microservice scheme introduced to meet the 6G requirements. Furthermore, we developed a novel migration scheme for the proposed architecture to support the mobility of end devices. The optimum server for migrating computing tasks is allocated by solving a proposed optimization problem using particle swarm optimization (PSO). All proposed algorithms were implemented in the developed prototype. The proposed work is introduced to provide an architectural foundation for testing fog-based 6G applications and services and to implement and test novel network methods in the future.
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面向 6G 应用的基于微服务的雾测试平台
本文提供了一种基于微服务架构的实时雾计算模型,可对超可靠低延迟通信(uRLLC)服务的最终实现进行测试和建模。该研究为包括网真和 uRLLC 在内的第六代蜂窝(6G)应用提供了基于雾的架构。开发了一个机器人群测试平台,用于制作拟议网络架构的原型。计算任务的卸载和处理基于为满足 6G 要求而提出的微服务方案。此外,我们还为拟议架构开发了一种新颖的迁移方案,以支持终端设备的移动性。通过使用粒子群优化(PSO)解决提出的优化问题,为迁移计算任务分配了最佳服务器。所有提议的算法都已在开发的原型中实现。所提出的工作旨在为测试基于雾的 6G 应用和服务提供架构基础,并在未来实施和测试新型网络方法。
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