CoCaR: Enabling Efficient Dynamic DNN-Based Model Caching and Request Routing in MEC

Mobile edge computing (MEC) can pre-cache deep neural networks (DNNs) near end-users, providing low-latency services and improving users' quality of experience (QoE). However, caching all DNN models at edge servers with limited capacity is difficult, and the impact of model loading time on QoE...

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Bibliographic Details

Published in:	Annual Joint Conference of the IEEE Computer and Communications Societies pp. 1 - 10
Main Authors:	Qiu, Shuting, Dong, Fang, Tan, Siyu, Shen, Dian, Zhou, Ruiting, Fan, Qilin
Format:	Conference Proceeding
Language:	English
Published:	IEEE 19.05.2025
Subjects:	Artificial neural networks Computational modeling Heuristic algorithms Load modeling Loading Pressing Quality of experience Routing Servers Simulation
ISSN:	2641-9874
Online Access:	Get full text
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