Intelligent Load Balancing Systems using Reinforcement Learning System
Fuente:
arXiv
Saved in:
| Main Author: | Singh, Raju |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Interpretable Reinforcement Learning for Load Balancing using Kolmogorov-Arnold Networks
by: Singh, Kamal, et al.
Published: (2025)
by: Singh, Kamal, et al.
Published: (2025)
Performing Load Balancing under Constraints
by: Fox, Andrea, et al.
Published: (2025)
by: Fox, Andrea, et al.
Published: (2025)
SeqBalance: Congestion-Aware Load Balancing with no Reordering for RoCE
by: Luo, Huimin, et al.
Published: (2024)
by: Luo, Huimin, et al.
Published: (2024)
Laconic: Streamlined Load Balancers for SmartNICs
by: Cui, Tianyi, et al.
Published: (2024)
by: Cui, Tianyi, et al.
Published: (2024)
Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning
by: Dinh, Lam, et al.
Published: (2024)
by: Dinh, Lam, et al.
Published: (2024)
Learning Automata-Based Enhancements to RPL: Pioneering Load-Balancing and Traffic Management in IoT
by: Homaei, Mohammadhossein
Published: (2024)
by: Homaei, Mohammadhossein
Published: (2024)
BalanceDN: Load-Balancing Allocation of Interest for Fast Discovery in Content Centric Networks
by: Gunti, Murali, et al.
Published: (2024)
by: Gunti, Murali, et al.
Published: (2024)
P4Kube: In-Network Load Balancer for Kubernetes
by: Grigoryan, Garegin, et al.
Published: (2025)
by: Grigoryan, Garegin, et al.
Published: (2025)
5G RAN Slicing with Load Balanced Handovers
by: Chen, Yongzhou, et al.
Published: (2025)
by: Chen, Yongzhou, et al.
Published: (2025)
Congestion-Aware Path Selection for Load Balancing in AI Clusters
by: Nosrati, Erfan, et al.
Published: (2025)
by: Nosrati, Erfan, et al.
Published: (2025)
Spritz: Path-Aware Load Balancing in Low-Diameter Networks
by: Bonato, Tommaso, et al.
Published: (2026)
by: Bonato, Tommaso, et al.
Published: (2026)
Load-Balancing versus Anycast: A First Look at Operational Challenges
by: Hendriks, Remi, et al.
Published: (2025)
by: Hendriks, Remi, et al.
Published: (2025)
REPS: Recycled Entropy Packet Spraying for Adaptive Load Balancing and Failure Mitigation
by: Bonato, Tommaso, et al.
Published: (2024)
by: Bonato, Tommaso, et al.
Published: (2024)
EYWA: Elastic Load-Balancing and High-Availability Wired Virtual Network Architecture
by: Jeong, Wookjae, et al.
Published: (2026)
by: Jeong, Wookjae, et al.
Published: (2026)
Streamlined Pathway (SP) Approach: An Efficient Load Balancer to Enhance Quality of Service
by: Alawadi, Aymen Hasan
Published: (2026)
by: Alawadi, Aymen Hasan
Published: (2026)
Probabilistic Mobility Load Balancing for Multi-band 5G and Beyond Networks
by: Lahham, Saria Al, et al.
Published: (2024)
by: Lahham, Saria Al, et al.
Published: (2024)
Hierarchical Reinforcement Learning for Integrated Cloud-Fog-Edge Computing in IoT Systems
by: Zarei, Ameneh, et al.
Published: (2025)
by: Zarei, Ameneh, et al.
Published: (2025)
A Simulation Study of Source Routing for Load Balancing in Software-Defined Satellite Networks
by: Bergamini, F.
Published: (2024)
by: Bergamini, F.
Published: (2024)
Towards an Edge Intelligence-Based Traffic Monitoring System
by: Barbuto, Vincenzo, et al.
Published: (2024)
by: Barbuto, Vincenzo, et al.
Published: (2024)
Traffic-Aware Domain Partitioning and Load-Balanced Inter-Domain Routing for LEO Satellite Networks
by: Zhou, Chen, et al.
Published: (2026)
by: Zhou, Chen, et al.
Published: (2026)
Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems
by: Barker, Ryan, et al.
Published: (2025)
by: Barker, Ryan, et al.
Published: (2025)
Joint QoS-Aware Scheduling and Precoding for Massive MIMO Systems via Deep Reinforcement Learning
by: Huang, Chih-Wei, et al.
Published: (2021)
by: Huang, Chih-Wei, et al.
Published: (2021)
Load Balancing for AI Training Workloads
by: McClure, Sarah, et al.
Published: (2025)
by: McClure, Sarah, et al.
Published: (2025)
Elevating the future of mobility: UAV-enabled Intelligent Transportation Systems
by: Saboor, Abdul, et al.
Published: (2021)
by: Saboor, Abdul, et al.
Published: (2021)
A comprehensive overview of the protocols associated with Intelligent Transportation Systems
by: Vogt, Jonas
Published: (2024)
by: Vogt, Jonas
Published: (2024)
Inter-DU Load Balancing in an Experimental Over-the-Air 5G Open Radio Access Network
by: Bashar, Fahim, et al.
Published: (2025)
by: Bashar, Fahim, et al.
Published: (2025)
XenoFlow: How Fast Can a SmartNIC-Based DNS Load Balancer Run?
by: Schrötter, Max, et al.
Published: (2025)
by: Schrötter, Max, et al.
Published: (2025)
Digital Twin Enhanced Deep Reinforcement Learning for Intelligent Omni-Surface Configurations in MU-MIMO Systems
by: Ye, Xiaowen, et al.
Published: (2024)
by: Ye, Xiaowen, et al.
Published: (2024)
iTRPL: An Intelligent and Trusted RPL Protocol based on Multi-Agent Reinforcement Learning
by: Dey, Debasmita, et al.
Published: (2024)
by: Dey, Debasmita, et al.
Published: (2024)
Deep Reinforcement Learning Approach to QoSAware Load Balancing in 5G Cellular Networks under User Mobility and Observation Uncertainty
by: Eskandarpour, Mehrshad, et al.
Published: (2025)
by: Eskandarpour, Mehrshad, et al.
Published: (2025)
On Network-Aware Semantic Communication and Edge-Cloud Collaborative Intelligence Systems
by: Nasif, Murdadha, et al.
Published: (2025)
by: Nasif, Murdadha, et al.
Published: (2025)
Communication Technologies for Intelligent Transportation Systems: From Railways to UAVs and Beyond
by: Rizkalla, Shrief, et al.
Published: (2026)
by: Rizkalla, Shrief, et al.
Published: (2026)
The Smart Highway to Babel: the coexistence of different generations of Intelligent Transport Systems
by: Amador, Oscar, et al.
Published: (2023)
by: Amador, Oscar, et al.
Published: (2023)
Digital Twin-Empowered Deep Reinforcement Learning for Intelligent VNF Migration in Edge-Core Networks
by: Ahmed, Faisal, et al.
Published: (2025)
by: Ahmed, Faisal, et al.
Published: (2025)
Federated Deep Reinforcement Learning-Based Intelligent Channel Access in Dense Wi-Fi Deployments
by: Du, Xinyang, et al.
Published: (2024)
by: Du, Xinyang, et al.
Published: (2024)
Safe Load Balancing in Software-Defined-Networking
by: Dinh, Lam, et al.
Published: (2024)
by: Dinh, Lam, et al.
Published: (2024)
Multi-Channel Operation for the Release 2 of ETSI Cooperative Intelligent Transport Systems
by: Bazzi, Alessandro, et al.
Published: (2023)
by: Bazzi, Alessandro, et al.
Published: (2023)
Designing, Developing, and Validating Network Intelligence for Scaling in Service-Based Architectures based on Deep Reinforcement Learning
by: Soto, Paola, et al.
Published: (2024)
by: Soto, Paola, et al.
Published: (2024)
A Survey on Federated Learning in Intelligent Transportation Systems
by: Zhang, Rongqing, et al.
Published: (2024)
by: Zhang, Rongqing, et al.
Published: (2024)
Convexity and Optimization in Deficit Round Robin Scheduling for Delay-Constrained Systems
by: Mukherjee, Aniket, et al.
Published: (2025)
by: Mukherjee, Aniket, et al.
Published: (2025)
Similar Items
-
Interpretable Reinforcement Learning for Load Balancing using Kolmogorov-Arnold Networks
by: Singh, Kamal, et al.
Published: (2025) -
Performing Load Balancing under Constraints
by: Fox, Andrea, et al.
Published: (2025) -
SeqBalance: Congestion-Aware Load Balancing with no Reordering for RoCE
by: Luo, Huimin, et al.
Published: (2024) -
Laconic: Streamlined Load Balancers for SmartNICs
by: Cui, Tianyi, et al.
Published: (2024) -
Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning
by: Dinh, Lam, et al.
Published: (2024)