Task Scheduling in Edge Network System Using Resource Interleaving and Reinforcement Learning
Year: 2025
Type: article
Abstract: We propose a task scheduling method using resource interleaving and Reinforcement Learning (RL) for edge network system. We use resource interleaving to schedule edge node task forwarding to reduce task waiting delay on resources after being forwarded. We formulate a task scheduling optimization problem and use RL to ensure real-time policy. Simulations verify the proposed method’s effectiveness in task scheduling.
Authors: Xinglong PEI, Yuxiang HU, Yongji DONG, Dan LI
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408265365