Model Distribution for Edge-Cloud Collaboration Inference in Optical Networks

Tasks with high latency requirements require cloud-edge collaborative inference. We propose an algorithm for model distribution and task inference that can significantly reduce 9.47% task completion time.

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Publication Details

Published
2024-11-02
DOI
https://doi.org/10.1109/acp/ipoc63121.2024.10809715
Citations
1
Primary Topic
Advanced Optical Network Technologies
Type
article
Field-Weighted Citation Impact
0.21
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article

Model Distribution for Edge-Cloud Collaboration Inference in Optical Networks

Yongli Zhao, Meng Lian, Tingting Bao, Jie Zhang
1 citations
Advanced Optical Network Technologies
0.21
article

Model Distribution for Edge-Cloud Collaboration Inference in Optical Networks

Yongli Zhao, Meng Lian, Tingting Bao, Jie Zhang
article en
1 citations

Abstract

Tasks with high latency requirements require cloud-edge collaborative inference. We propose an algorithm for model distribution and task inference that can significantly reduce 9.47% task completion time.

Beijing University of Posts and Telecommunications (CN), State Key Laboratory of Information Photonics and Optical Communications
Openalex Percentile: Top 44%
Advanced Optical Network Technologies
0.21
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