The upcoming 5G and beyond 5G heterogeneous applications with different quality of service (QoS) will impose strict latency, bandwidth, and flexibility requirements on optical metro access networks. Conventional cloud computing is gradually unable to fulfill the application requirements, especially on latency due to the distance causing propagation and networking delay. Therefore, the edge computing that distributed in metro access networks is promising to serve the applications with the requirements of ultra-low latency. As the resources of edge computing nodes are restricted and light compared with cloud data centers (DC), it is significant to manage across multiple edge computing nodes to enable joint allocation of the distributed resources. To address this issue, the optical metro network infrastructure should be flexible on the data plane and able to interact with the control and orchestration plane to automatically adapt to the communication requirements of multiple edge computing nodes. Related works have been focused on the simulation and numerical study. In this paper, an experimental testbed of a flexible optical metro access network including hardware and software components is built, and the performance is validated with real server traffic. The presented network system is based on the field-programmable gate array (FPGA), and hardware adapted open source network management and telemetry tools. Different from the commercial electrical switches, FPGA is fully programmable making it able to flexibly forward and monitor the traffic, in the meantime, to dynamically control the optical devices according to the feedback from the control plane. By exploiting dynamic software defined networking (SDN) control and network service orchestration, the proposed network is able to establish capacity adapted network slices for edge computing connections. Successful telemetry-assisted dynamic network service chain (NSC) generation, automatic bandwidth resources assignment, and QoS protection are demonstrated.

中文翻译：

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超越5G应用的自动光城域边缘计算网络和网络服务组成的实验评估

即将面世的具有不同服务质量（QoS）的5G和超越5G异构应用将对光城域接入网络提出严格的延迟，带宽和灵活性要求。传统的云计算逐渐无法满足应用程序的需求，尤其是在距离上导致延迟的情况下，从而导致传播和网络延迟。因此，分布在城域接入网络中的边缘计算有望满足超低等待时间的应用需求。与云数据中心（DC）相比，由于边缘计算节点的资源有限且轻便，因此跨多个边缘计算节点进行管理以实现对分布式资源的联合分配非常重要。为了解决这个问题，光学城域网基础设施应在数据平面上具有灵活性，并能够与控制和编排平面进行交互，以自动适应多个边缘计算节点的通信需求。相关工作已集中在模拟和数值研究上。在本文中，构建了一个包含硬件和软件组件的灵活的光学城域接入网的实验性测试平台，并通过真实的服务器流量验证了其性能。提出的网络系统基于现场可编程门阵列（FPGA），以及适用于硬件的开源网络管理和遥测工具。与商用电气开关不同，FPGA是完全可编程的，因此可以灵活转发和监控流量，同时，根据来自控制平面的反馈动态地控制光学设备。通过利用动态软件定义的网络（SDN）控制和网络服务编排，所提出的网络能够为边缘计算连接建立适应容量的网络切片。演示了成功的遥测辅助动态网络服务链（NSC）生成，自动带宽资源分配和QoS保护。