Reinforcement Learning for Optimizing Delay-Sensitive Task Offloading in Vehicular Edge–Cloud Computing
Author:
Affiliation:
1. School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam
2. School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia
Funder
Vingroup Joint Stock Company (Vingroup JSC), Vietnam
Vingroup Innovation Foundation (VINIF), Vietnam
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10384482/10175025.pdf?arnumber=10175025
Reference33 articles.
1. Mobile cloud computing: A survey
2. A high‐accurate content popularity prediction computational modeling for mobile edge computing using matrix completion technology
3. Latency Minimization for D2D-Enabled Partial Computation Offloading in Mobile Edge Computing
4. A Reinforcement Learning Algorithm for Resource Provisioning in Mobile Edge Computing Network
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1. TRUST-ME: Trust-Based Resource Allocation and Server Selection in Multi-Access Edge Computing;Future Internet;2024-08-04
2. Delay-Sensitive Task Offloading Optimization by Geometric Programming;IEEE Transactions on Cloud Computing;2024-07
3. Secure Data Transmission Based on Reinforcement Learning and Position Confusion for Internet of UAVs;IEEE Internet of Things Journal;2024-06-15
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