Deep reinforcement learning based resource allocation strategy in cloud-edge computing system

• Main Authors: Ahmed Adhoni, Zameer, Habelalmateen, Mohammed I, D R, Janardhana, Abdul Sattar, Khalid Nazim, Audah, Lukman
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: T Technology (General)
• Online Access: http://eprints.uthm.edu.my/11924/1/P17003_0e3c560e211e3d06995d79b44427688c.pdf; http://eprints.uthm.edu.my/11924/

A lot of real time processing as well as resourceintensive apps is what is needed more and thus, cloud-edge computing systems require compelling resource allocation schemes. This research focuses on the utility of Multiagent Learning framework with Deep Reinforcement Learning (MAL-DRL) which is...