Characterizing and Understanding the Architectural Implications of Cloudnative Edge NFV Workloads

Characterizing and Understanding the Architectural Implications of Cloudnative Edge NFV Workloads
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DOI:
10.1109/nfv-sdn47374.2019.9039983
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发表时间:
2019-11
期刊:
2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)
影响因子:
--
通讯作者:
Jianda Wang;Yang Hu
Jianda Wang;Yang Hu
中科院分区:
其他
文献类型:
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作者:
Jianda Wang;Yang Hu

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为了应对快速变化的用户服务需求和高度混合的流量,5G网络利用网络功能虚拟化(NFV)和网络切片来增强其功能和架构可行性。随着5G提出的新的服务提供需求(例如超低延迟和大规模机器类型通信)促使功能部署从网络核心卸载到边缘,由各种服务引起的QoS保证的各种需求使NFV成为边缘网络演进的重要推动者。然而,在网络边缘新产生的性能挑战仍未被探索。在本文中,我们研究了5G时代的融合RAN和MEC架构。具体而言,我们描述了COTS边缘平台上的并置云原生工作负载(RAN和MEC),并提供了有利于未来边缘架构设计的架构含义。
In responding to the fast-varying user service requirements and highly mixed traffics, the 5G network exploits Network Function Virtualization (NFV) and network slicing to enhance its functional and architectural viability. With the new service provisioning requirements posed by 5G (e.g. the ultra-low latency and massive machine-type communication) urge the functionality deployment to offload from the network core to edge, the various demands of QoS guarantee cast by the diverse services make the NFV an essential enabler of edge network evolution. However, the newly created performance challenges at the network edge are still unexplored. In this paper, we investigate the converged RAN and MEC architecture in the 5G era. Specifically, we characterize the collocated cloud-native workloads (RAN and MEC) on the COTS edge platform and provide the architectural implication which will benefit the future edge architecture design.