Joint Optimization for Combined Jobs Scheduling and Routing in the Edge Computing based EON

2018 Asia Communications and Photonics Conference (ACP) Pub Date : 2018-10-01 DOI:10.1109/ACP.2018.8596108

Yanan Li, Jiawei Zhang, Zhen Liu, Yuefeng Ji

引用次数: 2

Abstract

We propose a joint scheduling and routing scheme with combined jobs to maximize throughput under deadline constraint in the edge computing based EON. The results show it achieves increase on network throughput and utilization.

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基于EON边缘计算的联合作业调度和路由联合优化

提出了一种结合作业的联合调度和路由方案，以最大限度地提高基于边缘计算的EON在截止日期约束下的吞吐量。结果表明，该方法提高了网络吞吐量和利用率。

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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来源期刊

2018 Asia Communications and Photonics Conference (ACP)

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