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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Annual Joint Conference of the IEEE Computer and Communications Societies S. 1 - 10
Hauptverfasser:	Qiu, Shuting, Dong, Fang, Tan, Siyu, Shen, Dian, Zhou, Ruiting, Fan, Qilin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 19.05.2025
Schlagworte:	Artificial neural networks Computational modeling Heuristic algorithms Load modeling Loading Pressing Quality of experience Routing Servers Simulation
ISSN:	2641-9874
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!