The paper introduces CoCaR for joint submodel caching and request routing with dynamic DNNs in MEC, reporting 46% higher average inference precision in simulations and at least 32.3% QoE gain for its online variant.
FEAT: Towards fast environment-adaptive task offloading and power allocation in MEC,
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Joint Optimization of DNN Model Caching and Request Routing in Mobile Edge Computing
The paper introduces CoCaR for joint submodel caching and request routing with dynamic DNNs in MEC, reporting 46% higher average inference precision in simulations and at least 32.3% QoE gain for its online variant.