Joint optimization of computing offloading and service caching in edge computing-based smart grid
With the continuous expansion of the power Internet of Things (IoT) and the rapid increase in
the number of Smart Devices (SDs), the data generated by SDs has exponentially …
the number of Smart Devices (SDs), the data generated by SDs has exponentially …
Optimizing AI service placement and resource allocation in mobile edge intelligence systems
Leveraging recent advances on mobile edge computing (MEC), edge intelligence has
emerged as a promising paradigm to support mobile artificial intelligence (AI) applications at …
emerged as a promising paradigm to support mobile artificial intelligence (AI) applications at …
[HTML][HTML] Twin delayed deep deterministic policy gradient-based intelligent computation offloading for IoT
S Chen, B Tang, K Wang - Digital Communications and Networks, 2023 - Elsevier
In view of the randomness distribution of multiple users in the dynamic large-scale Internet of
Things (IoT) scenario, comprehensively formulating available resources for fog nodes in the …
Things (IoT) scenario, comprehensively formulating available resources for fog nodes in the …
Hierarchical Deep Reinforcement Learning for Joint Service Caching and Computation Offloading in Mobile Edge-Cloud Computing
Mobile edge-cloud computing networks can provide distributed, hierarchical, and fine-
grained resources, and have become a major goal for future high-performance computing …
grained resources, and have become a major goal for future high-performance computing …
Enhancing Service Offloading for Dense Networks Based on Optimal Stopping Theory in Virtual Mobile Edge Computing
Q Fu, T Yang - Journal of Grid Computing, 2024 - Springer
The present and next-generation networks of service offloading present exciting issues. The
traditional network optimisation techniques still require rigorous heuristic tuning to obtain a …
traditional network optimisation techniques still require rigorous heuristic tuning to obtain a …