Fernandez Juan-Manuel, Vidal Ivan, Valera Francisco
Research and Development Department, Ericsson Spain S.A., Vía de los Poblados 13, 28033 Madrid, Spain.
Departamento de Ingeniería Telemática, Universidad Carlos III de Madrid, Avda. Universidad, 30, Leganés, 28911 Madrid, Spain.
Sensors (Basel). 2019 Jul 5;19(13):2980. doi: 10.3390/s19132980.
This article addresses one of the main challenges related to the practical deployment of Internet of Things (IoT) solutions: the coordinated operation of entities at different infrastructures to support the automated orchestration of end-to-end Internet of Things services. This idea is referred to as "Internet of Things slicing" and is based on the network slicing concept already defined for the Fifth Generation (5G) of mobile networks. In this context, we present the architectural design of a slice orchestrator addressing the aforementioned challenge, based on well-known standard technologies and protocols. The proposed solution is able to integrate existing technologies, like cloud computing, with other more recent technologies like edge computing and network slicing. In addition, a functional prototype of the proposed orchestrator has been implemented, using open-source software and microservice platforms. As a first step to prove the practical feasibility of our solution, the implementation of the orchestrator considers cloud and edge domains. The validation results obtained from the prototype prove the feasibility of the solution from a functional perspective, verifying its capacity to deploy Internet of Things related functions even on resource constrained platforms. This approach enables new application models where these Internet of Things related functions can be onboarded on small unmanned aerial vehicles, offering a flexible and cost-effective solution to deploy these functions at the network edge. In addition, this proposal can also be used on commercial cloud platforms, like the Google Compute Engine, showing that it can take advantage of the benefits of edge and cloud computing respectively.
本文探讨了与物联网(IoT)解决方案实际部署相关的主要挑战之一:不同基础设施中的实体协同运行,以支持端到端物联网服务的自动化编排。这个概念被称为“物联网切片”,它基于已为第五代(5G)移动网络定义的网络切片概念。在此背景下,我们基于知名的标准技术和协议,提出了一种应对上述挑战的切片编排器的架构设计。所提出的解决方案能够将现有技术(如云计算)与其他更新的技术(如边缘计算和网络切片)集成。此外,已使用开源软件和微服务平台实现了所提出编排器的功能原型。作为证明我们解决方案实际可行性的第一步,编排器的实现考虑了云和边缘域。从原型获得的验证结果从功能角度证明了该解决方案的可行性,验证了其即使在资源受限平台上也能部署物联网相关功能 的能力。这种方法催生了新的应用模型,在这些模型中,与物联网相关的功能可以搭载在小型无人机上,为在网络边缘部署这些功能提供了灵活且经济高效的解决方案。此外,该提议还可用于商业云平台,如谷歌计算引擎,表明它可以分别利用边缘计算和云计算的优势。