5GLoR:面向企业物联网应用的5G局域网编排

Sandesh Dhawaskar Sathyanarayana, Murugan Sankaradas, S. Chakradhar
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引用次数: 2

摘要

5G-LAN是利用5G技术代替WiFi进行无线连接的企业局域网(LAN)。5G技术是独一无二的:它使用网络切片来区分相同流量类别的客户,并在RF域使用新的QoS技术。大多数企业局域网不支持这种独特的功能,它们主要依赖于区分流量类别而不是客户的diffserv类技术。我们首先表明,5G网络和LAN之间的QoS不匹配会影响LAN驻留分析应用程序洞察力的准确性。我们系统地分析了QoS不匹配的根本原因,并提出了一种首创的5G-LAN编排器(5GLoR)。5GLoR是一种中间件,应用程序可以使用它来通过企业局域网保持其5G数据流的QoS。在大多数情况下,QoS的丢失不是由于LAN交换机的过度订阅,而主要是由于5G数据分配到入口和出口端口队列的效率低下。5GLoR定期分析这些队列的状态,为应用提供合适的DSCP标识符,并安装相应的交换机重写规则(在交换机之间更改DSCP标识符),持续保持5G数据通过局域网的QoS。对于WebRTC应用,5GLoR将RTP帧级延迟和帧间延迟分别提高了212%和122%。此外,使用5GLoR,两个示例应用程序(人脸检测和识别)的准确性提高了33%,而延迟减少了约25%。我们的实验表明,与MEC上的相同应用程序相比,5G-LAN上应用程序的性能(精度和延迟)与所提出的5GLoR相比表现良好。这一点很重要,因为5G-LAN为应用程序提供了比资源受限的MEC多一个数量级的计算、网络和存储资源,成熟的企业技术可用于部署、管理和更新物联网应用程序。
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5GLoR: 5G LAN Orchestration for enterprise IoT applications
5G-LAN is an enterprise local area network (LAN) that leverages 5G technology for wireless connectivity instead of WiFi. 5G technology is unique: it uses network slicing to distinguish customers in the same traffic class using new QoS technologies in the RF domain. This unique ability is not supported by most enterprise LANs, which rely primarily on DiffServ-like technologies that distinguish among traffic classes rather than customers. We first show that this mismatch in QoS between the 5G network and the LAN affects the accuracy of insights from the LAN-resident analytics applications. We systematically analyze the root causes of the QoS mismatch and propose a first-of-a-kind 5G-LAN orchestrator (5GLoR). 5GLoR is a middleware that applications can use to preserve the QoS of their 5G data streams through the enterprise LAN. In most cases, the loss of QoS is not due to the oversubscription of LAN switches but primarily due to the inefficient assignment of 5G data to queues at ingress and egress ports. 5GLoR periodically analyzes the status of these queues, provides suitable DSCP identifiers to the application, and installs relevant switch re-write rules (to change DSCP identifiers between switches) to continuously preserve the QoS of the 5G data through the LAN. 5GLoR improves the RTP frame level delay and inter-frame delay by 212% and 122%, respectively, for the WebRTC application. Additionally, with 5GLoR, the accuracy of two example applications (face detection and recognition) improved by 33%, while the latency was reduced by about 25%. Our experiments show that the performance (accuracy and latency) of applications on a 5G-LAN performs well with the proposed 5GLoR compared to the same applications on MEC. This is significant because 5G-LAN offers an order of magnitude more computing, networking, and storage resources to the applications than the resource-constrained MEC, and mature enterprise technologies can be used to deploy, manage, and update IoT applications.
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