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NFV orchestration over disaggregated metro optical networks with end-to-end multi-layer slicing enabling crowdsourced live video streaming
Journal of Optical Communications and Networking ( IF 4.0 ) Pub Date : 2021-06-28 , DOI: 10.1364/jocn.423501
Abubakar Siddique Muqaddas 1 , Rodrigo Stange Tessinari 1 , Ramon Casellas 2 , Miquel Garrich 3 , Emilio Hugues-Salas 1 , Óscar González de Dios 4 , Lourdes Luque 4 , Alessio Giorgetti 5, 6 , Andrea Sgambelluri 5 , Filippo Cugini 5 , Francisco-Javier Moreno-Muro 3 , Roberto Morro 7 , Kristan Farrow 8 , Adrian Wonfor 9 , Mayur Channegowda 10 , Pablo Pavón-Mariño 3 , Andrew Lord 8 , Reza Nejabati 1 , Dimitra Simeonidou 1
Affiliation  

Network infrastructure must support emerging applications, fulfill 5G requirements, and respond to the sudden increase of societal need for remote communications. Remarkably, crowdsourced live video streaming (CLVS) challenges operators’ infrastructure with tides of users attending major sport or public events that demand high bandwidth and low latency jointly with computing capabilities at the networks’ edge. The Metro-Haul project entered the scene proposing a cost-effective, agile, and disaggregated infrastructure for the metro segment encompassing optical and packet resources jointly with computing capabilities. Recently, a major Metro-Haul outcome took the form of a field trial of network function virtualization (NFV) orchestration over the multi-layer packet and disaggregated optical network testbed that demonstrated a CLVS use case. We showcased the average service creation time below 5 min, which met the key performance indicator as defined by the 5G infrastructure public private partnership. In this paper, we expand our field trial demonstration with a detailed view of the Metro-Haul testbed for the CLVS use case, the employed components, and their performance. The throughput of the service is increased from approximately 9.6 Gbps up to 35 Gbps per virtual local area network with high-performance VNFs based on single-root input/output virtualization technology.

中文翻译:

通过端到端多层切片在分解城域光网络上进行 NFV 编排,实现众包直播视频流

网络基础设施必须支持新兴应用、满足 5G 要求并响应社会对远程通信需求的突然增长。值得注意的是,众包直播视频流 (CLVS) 对运营商的基础设施提出了挑战,用户参加大型体育赛事或公共活动的浪潮要求高带宽和低延迟以及网络边缘的计算能力。Metro-Haul 项目进入现场,为城域网段提出了一种具有成本效益、敏捷和分解的基础设施,包括光和数据包资源以及计算能力。最近,Metro-Haul 的一项主要成果是在多层数据包和分解光网络测试平台上进行网络功能虚拟化 (NFV) 编排的现场试验,展示了 CLVS 用例。我们展示了低于 5 分钟的平均服务创建时间,这符合 5G 基础设施公私合作伙伴关系定义的关键性能指标。在本文中,我们扩展了现场试验演示,详细介绍了 CLVS 用例的 Metro-Haul 测试台、所用组件及其性能。通过基于单根输入/输出虚拟化技术的高性能 VNF,服务的吞吐量从每个虚拟局域网的大约 9.6 Gbps 增加到 35 Gbps。以及他们的表现。通过基于单根输入/输出虚拟化技术的高性能 VNF,服务的吞吐量从每个虚拟局域网的大约 9.6 Gbps 增加到 35 Gbps。以及他们的表现。通过基于单根输入/输出虚拟化技术的高性能 VNF,服务的吞吐量从每个虚拟局域网的大约 9.6 Gbps 增加到 35 Gbps。
更新日期:2021-06-29
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