在5G网络中,通过边缘主机分区实现灵活的MEC业务消耗

Miltiades Filippou, D. Sabella, Vincenzo Riccobene
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引用次数: 12

摘要

多接入边缘计算(MEC)被普遍认为是新兴5G系统的关键支撑技术。当部署在完全虚拟化的网络中,即遵循网络功能虚拟化(NFV)范式时,它将启用大量新的应用程序和用例。然而,随着设备数量的不断增加,加上流量需求的急剧增长,NFV环境需要低端到端(E2E)延迟的数据包传输和处理,无论是在用户面还是控制面。本文以控制平面数据包流量为重点,研究了MEC应用程序使用运行在不同MEC主机上的MEC服务的一般情况。为了在不同位置实现灵活的MEC平台服务消费,基于最先进的总处理时间统计模型,我们在托管MEC应用程序实例的MEC服务器周围定义了延迟感知邻近区域。示例场景展示了通过在MEC主机和服务生成MEC应用程序实例周围引入邻近区域的感知,从而获得的端到端性能优势。考虑到分布式计算系统的未来发展,这种对性能敏感的服务消费将是有益的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flexible MEC service consumption through edge host zoning in 5G networks
Multi-access Edge Computing (MEC) is commonly recognized as a key supporting technology for the emerging 5G systems. When deployed in fully virtualized networks, i.e., following the Network Function Virtualization (NFV) paradigm, it will enable a multitude of new applications and use cases. However, the growing number of devices, combined with the vastly increasing traffic demand, call for low End-to-End (E2E) latency packet transfer and processing in an NFV environment, both in user and control plane. In this paper, focusing on control plane packet traffic, we investigate the general case of a MEC application consuming a MEC service running on a different MEC host. To enable flexible MEC platform service consumption at different localities, based on a state-of-the-art statistical model of the total processing time, we define latency-aware proximity zones around MEC servers hosting MEC application instances. Exemplary scenarios exhibit the E2E performance benefit of introducing the awareness of proximity zones around MEC hosts and service producing MEC application instances. This performance-aware service consumption will be beneficial in view of the future evolution towards distributed computing systems.
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