On the Application of Q-learning for Mobility Load Balancing in Realistic Vehicular Scenarios.
Martín Trullenque OrtizOriol SalientDaniel Camps-MurJosep EscrigJad NasreddineJordi Pérez-RomeroPublished in: VTC2023-Spring (2023)
Keyphrases
- load balancing
- mobile agents
- dynamic load balancing
- peer to peer systems
- fault tolerance
- distributed systems
- resource utilization
- load balance
- fault tolerant
- multi agent
- cooperative
- round robin
- artificial intelligence
- parallel database systems
- response time
- reinforcement learning
- grid computing
- optimal policy
- low overhead
- skewed data
- learning algorithm
- replication scheme