基于sdn的边缘计算网络层:海报

An Wang, Zili Zha, Yang Guo, Songqing Chen
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引用次数: 2

摘要

在大数据分析能力和不断扩展的物联网(IoT)设备和应用的驱动下,新的计算范式——边缘计算——通过在本地或附近的边缘数据中心收集和处理数据,显著提高了网络性能。它为可伸缩性提供了一条成本低得多的途径,允许服务提供商根据需要扩展其计算能力。同时,软件定义网络(SDN)、程控数据平面等新兴网络技术的出现,使得网络的组网更加经济高效,网络管理更加直接。这些进步刺激了边缘计算最近采用这些技术的努力,以进一步提高效率并减少延迟。然而,尽管在边缘计算方面已经付出了很多努力,但从SDN的角度来看,很少有发展。特别是,集成可编程网络控制的通用框架仍然缺失。在这张海报中,我们讨论了相关的挑战,并提出了这样一个框架的初步设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A SDN-based network layer for edge computing: poster
Driven by big data analytical capabilities and ever-expanding Internet-of-Things (IoT) devices and applications, the new computing paradigm, Edge Computing significantly improves network performance by collecting and processing data locally or in a nearby edge data center. It offers a far less expensive route to scalability, allowing service providers to expand their computing capability as needed. Meanwhile, emerging network technologies, such as Software Defined Networking (SDN) and programmale data plane, can facilitate cost-efficient networking and direct network management. Such advancements stimulate recent efforts to adopt these technologies by Edge Computing to further improve efficiency and reduce latency. However, albeit a lot of efforts have been spent on the edge computing, little has been developed from the SDN perspective. In particular, a generic framework that integrates programmable network control is still missing. In this poster, we discuss the relevant challenges and propose an initial design of such a framework.
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