Toward Mobility-Aware Edge Inference Via Model Partition and Service Migration
Author:
Affiliation:
1. College of Intelligence and Computing, Tianjin University,Tianjin,China
2. Muroran Institute of Technology,Department of Sciences and Informatics,Hokkaido,Japan
3. Institute of Technology, Tianjin University of Finance and Economics,Tianjin,China
Funder
National Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278505/10278554/10278885.pdf?arnumber=10278885
Reference11 articles.
1. Modems: Optimizing edge computing migrations for user mobility;kim;IEEE INFOCOM,0
2. Two Time-Scale Joint Service Caching and Task Offloading for UAV-assisted Mobile Edge Computing
3. Dynamic computation offloading for mobile cloud computing: A stochastic game-theoretic approach;zheng;IEEE Trans Mob Comput,2019
4. Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing
5. Enabling Low Latency Edge Intelligence based on Multi-exit DNNs in the Wild
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. MoEI: Mobility-Aware Edge Inference Based on Model Partition and Service Migration;IEEE Transactions on Mobile Computing;2024-10
2. Distributed DNN Inference With Fine-Grained Model Partitioning in Mobile Edge Computing Networks;IEEE Transactions on Mobile Computing;2024-10
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