End-to-End Performance Evaluation of MEC Deployments in 5G Scenarios
End-to-End Performance Evaluation of MEC Deployments in 5G Scenarios
复制标题
DOI：
10.3390/jsan9040057
复制
发表时间：
2020-12-01
影响因子：
3.5
通讯作者：
Sabella, Dario
中科院分区：
文献类型：
--
作者：
Virdis, Antonio;Nardini, Giovanni;Sabella, Dario
多访问边缘计算（MEC）承诺提供本地化的计算能力和存储。再加上低延迟的5G无线接入，这将为移动用户创造高附加值的服务，如车载信息娱乐或远程驾驶。然而，这些服务的性能及其可扩展性将取决于MEC在5G系统中的部署方式。本文使用准确而全面的端到端（E2E）系统仿真模型（利用Simu5G进行无线接入，利用Intel CoFluent进行核心网和MEC），评估了不同的MEC部署选项，并考虑到与用户相关的指标，如响应时间或MEC延迟。我们的研究结果表明，4G无线接入将成为一个瓶颈，阻碍MEC服务的扩大。另一方面，5G的引入将使MEC服务的渗透率大大提高。
Multi-access edge computing (MEC) promises to deliver localized computing power and storage. Coupled with low-latency 5G radio access, this enables the creation of high added-value services for mobile users, such as in-vehicle infotainment or remote driving. The performance of these services as well as their scalability will however depend on how MEC will be deployed in 5G systems. This paper evaluates different MEC deployment options, coherent with the respective 5G migration phases, using an accurate and comprehensive end-to-end (E2E) system simulation model (exploiting Simu5G for radio access and Intel CoFluent for core network and MEC), taking into account user-related metrics, such as response time or MEC latency. Our results show that 4G radio access is going to be a bottleneck, preventing MEC services from scaling up. On the other hand, the introduction of 5G will allow a considerable higher penetration of MEC services.