Application-Oriented Optical Transmission Control for Computationally Efficient Edge Computing

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2020-01-01 DOI:10.1109/CCNC46108.2020.9045620

Takahiro Suzuki, Sang-Yuep Kim, Y. Koyasako, J. Kani, J. Terada

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引用次数: 3

Abstract

Network requirements in optical access networks continue to expand, and softwarization of transmission function has been studied for complete virtualization of access systems. In order to meet the requirements posed by Internet of Things (IoT) applications, SDN/NFV-based access network is an excellent candidate for the edge computing platform needed. However, using a common transmission method is inefficient and will increase the computational loads placed on edge servers. We are aiming to maximize the benefits of SDN/NFV by realizing transmission that can respond to individual IoT application requests. This paper proposes novel application-oriented optical transmission control to enhance computational efficiency, especially for image processing applications. Our proposal is implemented on a general-purpose server and we demonstrate its performance on a 10-Gbps optical transmission system. The results show that the proposal does achieve transmission control to suit application requests.

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面向应用的高效边缘计算光传输控制

光接入网的网络需求不断扩大，为了实现接入系统的完全虚拟化，人们研究了传输功能的软件化。为了满足物联网(IoT)应用的需求，基于SDN/ nfv的接入网是边缘计算平台的理想选择。但是，使用通用的传输方法是低效的，并且会增加边缘服务器上的计算负载。我们的目标是通过实现能够响应单个IoT应用请求的传输，最大限度地发挥SDN/NFV的优势。本文提出了一种新的面向应用的光传输控制，以提高计算效率，特别是在图像处理应用中。该方案在通用服务器上实现，并在10gbps光传输系统上进行了性能验证。结果表明，该方案实现了满足应用要求的传输控制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)

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