5G networks are expected to provide cost-efficient, reliable, and flexible services for industrial productions and applications potentially, by introducing emerging network technologies like blockchain and network functions virtualization (NFV), which virtualizes network functions and runs them on standard infrastructure rather than customized hardware. However, how to deal with the emerging security challenges and fulfil the requirement of ultra-reliable and low-latency communications (URLLC) has not been fully resolved. In this article, we present an NFV-enabled 5G paradigm for the industry with the guarantee of URLLC through service chain acceleration and dynamic blockchain-based spectrum resource sharing among a variety of industry applications running in NVF-based equipment. First, we elaborate the benefits and shortcomings of NFV for industry, by executing an industry application experiment in virtualized and nonvirtualized data center networks. Then, we illustrate an NFV-enabled 5G paradigm for URLLC in detail, with a special focus on the service chain acceleration and spectrum sharing built on NFV, blockchain, software-defined networking, and mobile edge computing. Finally, we establish a mathematical model to study the worst-cast transmission latency of NFV-enabled 5G with the input of the bursty traffic. The proposed model can be exploited to support the plan, management, and optimization of NFV-enabled 5G URLLC systems for industry.

中文翻译：

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NFV和启用区块链的5G，用于工业中的超可靠和低延迟通信：体系结构和性能评估

通过引入诸如区块链和网络功能虚拟化（NFV）等新兴网络技术，5G网络有望为工业生产和应用提供经济高效，可靠和灵活的服务，该技术可虚拟化网络功能并将其运行在标准基础架构上而不是定制化硬件。但是，如何应对新出现的安全挑战并满足超可靠和低延迟通信（URLLC）的要求尚未完全解决。在本文中，我们通过服务链加速和基于NVF的设备中运行的各种行业应用之间的动态基于区块链的频谱资源共享，为URLLC提供了保证，从而为行业提供了支持NFV的5G范例。第一的，通过在虚拟化和非虚拟化数据中心网络中执行行业应用实验，我们详细阐述了NFV对行业的利弊。然后，我们详细说明URLLC的启用NFV的5G范例，特别关注基于NFV，区块链，软件定义的网络和移动边缘计算构建的服务链加速和频谱共享。最后，我们建立一个数学模型，以研究突发流量输入下启用NFV的5G的最坏传输延迟。可以利用提议的模型来支持针对行业的支持NFV的5G URLLC系统的计划，管理和优化。特别关注基于NFV，区块链，软件定义的网络和移动边缘计算构建的服务链加速和频谱共享。最后，我们建立一个数学模型来研究突发流量输入下启用NFV的5G的最坏传输延迟。可以利用提出的模型来支持针对工业应用的支持NFV的5G URLLC系统的计划，管理和优化。特别关注基于NFV，区块链，软件定义的网络和移动边缘计算的服务链加速和频谱共享。最后，我们建立一个数学模型，以研究突发流量输入下启用NFV的5G的最坏传输延迟。可以利用提议的模型来支持针对行业的支持NFV的5G URLLC系统的计划，管理和优化。