Deep Reinforcement Learning-based Scheduling for Optimizing System Load
and Response Time in Edge and Fog Computing Environments

Deep Reinforcement Learning-based Scheduling for Optimizing System Load and Response Time in Edge and Fog Computing Environments

14 September 2023

Rajkumar Buyya

Papers citing "Deep Reinforcement Learning-based Scheduling for Optimizing System Load and Response Time in Edge and Fog Computing Environments"

7 / 7 papers shown

Title
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey Jing Liu Yao Du Kun Yang Yan Wang Xiping Hu Zehua Wang Yang Liu Peng Sun Azzedine Boukerche Victor C.M. Leung 43 0 0 03 May 2025
Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Yan Gu Zhaoze Liu Shuhong Dai Cong Liu Ying Wang Shen Wang Georgios Theodoropoulos Long Cheng 38 0 0 03 Jan 2025
ReinFog: A DRL Empowered Framework for Resource Management in Edge and Cloud Computing Environments Zhiyu Wang M. Goudarzi Rajkumar Buyya 79 0 0 20 Nov 2024
TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments Zhiyu Wang M. Goudarzi Rajkumar Buyya OffRL 35 3 0 18 Oct 2024
A Framework for dynamically meeting performance objectives on a service mesh Forough Shahab Samani Rolf Stadler 25 3 0 25 Jun 2023
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments M. Goudarzi M. Palaniswami Rajkumar Buyya OffRL 35 85 0 24 Oct 2021
Soft Actor-Critic for Discrete Action Settings Petros Christodoulou OffRL 104 292 0 16 Oct 2019