Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning

16 May 2018

Papers citing "Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning"

50 / 53 papers shown

Title
Optimizing Edge Offloading Decisions for Object Detection Jiaming Qiu Ruiqi Wang Brooks Hu Roch Guérin Chenyang Lu OffRL 24 0 0 24 Oct 2024
Intelligent Hybrid Resource Allocation in MEC-assisted RAN Slicing Network Chong Zheng Yongming Huang Cheng Zhang Tony Q.S. Quek 26 0 0 02 May 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 29 6 0 22 Apr 2024
Joint Task Partitioning and Parallel Scheduling in Device-Assisted Mobile Edge Networks Yang Li Xinlei Ge Bo Lei Xing Zhang Wenbo Wang 34 9 0 04 Dec 2023
μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments M. Goudarzi M. A. Rodriguez Majid Sarvi Rajkumar Buyya OffRL 22 1 0 13 Oct 2023
Sample-Driven Federated Learning for Energy-Efficient and Real-Time IoT Sensing Minh Ngoc Luu Minh-Duong Nguyen E. Bedeer Van Duc Nguyen D. Hoang Diep N. Nguyen Viet Quoc Pham 21 2 0 11 Oct 2023
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems Shiying Zhang Jun Li Long Shi Ming Ding Dinh C. Nguyen Wuzheng Tan Jian Weng Zhu Han 73 35 0 20 Sep 2023
Task Graph offloading via Deep Reinforcement Learning in Mobile Edge Computing Jiagang Liu Yun Mi Xinyu Zhang Xiaocui Li 8 10 0 19 Sep 2023
Deep Reinforcement Learning-based Scheduling for Optimizing System Load and Response Time in Edge and Fog Computing Environments Zhiyu Wang M. Goudarzi Mingming Gong Rajkumar Buyya 28 57 0 14 Sep 2023
Computation Offloading with Multiple Agents in Edge-Computing-Supported IoT Shihao Shen Yiwen Han Xiaofei Wang Yan Wang OffRL 13 79 0 01 Aug 2023
Efficient Task Offloading Algorithm for Digital Twin in Edge/Cloud Computing Environment Ziru Zhang Xuling Zhang Guangzhi Zhu Yuyang Wang Pan Hui 15 1 0 12 Jul 2023
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects Yuntao Wang Zhou Su Shaolong Guo Minghui Dai Tom H. Luan Yiliang Liu 24 107 0 31 Jan 2023
Exploring Deep Reinforcement Learning for Holistic Smart Building Control Xianzhong Ding Alberto Cerpa Wan Du AI4CE 11 10 0 27 Jan 2023
Holistic Network Virtualization and Pervasive Network Intelligence for 6G Xuemin Shen Shen Jie Gao Wen Wu Mushu Li Conghao Zhou W. Zhuang 35 234 0 02 Jan 2023
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions Sundas Iftikhar S. Gill Chenghao Song Minxian Xu M. Aslanpour ... Félix Cuadrado Blesson Varghese Omer F. Rana Schahram Dustdar Steve Uhlig 39 132 0 09 Dec 2022
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations Marie Siew Shikhar Sharma Zekai Li Kun Guo Chao Xu Tania Lorido-Botran Tony Q.S. Quek Carlee Joe-Wong 23 1 0 28 Sep 2022
Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning Xianfu Chen Zhifeng Zhao S. Mao Celimuge Wu Honggang Zhang M. Bennis OffRL 26 3 0 19 Sep 2022
Adaptive Edge Offloading for Image Classification Under Rate Limit Jiaming Qiu Ruiqi Wang Ayan Chakrabarti Roch Guérin Chenyang Lu OffRL 19 13 0 31 Jul 2022
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning Zhiwei Hao Guanyu Xu Yong Luo Han Hu Jianping An Shiwen Mao 29 22 0 24 May 2022
SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments Shreshth Tuli G. Casale N. Jennings 16 31 0 21 May 2022
Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions M. Goudarzi M. Palaniswami Rajkumar Buyya 23 69 0 26 Apr 2022
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks Sina Shahhosseini Dongjoo Seo A. Kanduri Tianyi Hu Sung-Soo Lim Bryan Donyanavard Amir M.Rahmani N. Dutt 27 17 0 21 Feb 2022
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence Pengjin Wei Kun Guo Ye Li Jue Wang W. Feng Shi Jin Ning Ge Ying-Chang Liang 28 45 0 27 Jan 2022
Attention-Based Model and Deep Reinforcement Learning for Distribution of Event Processing Tasks A. Mazayev F. Al-Tam N. Correia 33 5 0 07 Dec 2021
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing Yongshuai Liu J. Ding Zhi-Li Zhang Xin Liu 22 19 0 16 Nov 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 14 37 0 12 Nov 2021
Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks Saurav Sthapit Subhash Lakshminarayana Ligang He Gregory Epiphaniou Carsten Maple 32 19 0 09 Nov 2021
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
DeepEdge: A Deep Reinforcement Learning based Task Orchestrator for Edge Computing Baris Yamansavascilar A. C. Baktir Cagatay Sonmez Atay Ozgovde Cem Ersoy 11 23 0 05 Oct 2021
Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding Haitham Afifi Fabian Sauer H. Karl 23 2 0 04 Oct 2021
A Proactive Management Scheme for Data Synopses at the Edge Kostas Kolomvatsos Christos Anagnostopoulos 14 0 0 22 Jul 2021
Structure-aware reinforcement learning for node-overload protection in mobile edge computing Anirudha Jitani Aditya Mahajan Zhongwen Zhu H. Abou-zeid E. T. Fapi Hakimeh Purmehdi OffRL 16 8 0 29 Jun 2021
Performance Comparison for Scientific Computations on the Edge via Relative Performance Aravind Sankaran Paolo Bientinesi 25 4 0 25 Feb 2021
Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design Chongwen Huang Zhaohui Yang G. C. Alexandropoulos Kai Xiong Li Wei Chau Yuen Zhaoyang Zhang Merouane Debbah 32 326 0 22 Jan 2021
Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing Zheqi Zhu Shuo Wan Pingyi Fan Khaled B. Letaief 19 77 0 28 Dec 2020
Deep Learning Based Intelligent Inter-Vehicle Distance Control for 6G Enabled Cooperative Autonomous Driving Xiaosha Chen S. Leng Jianhua He Longyu Zhou 21 55 0 26 Dec 2020
A Reinforcement Learning Formulation of the Lyapunov Optimization: Application to Edge Computing Systems with Queue Stability Sohee Bae Seungyul Han Y. Sung 14 9 0 14 Dec 2020
Multi-Agent Deep Reinforcement Learning enabled Computation Resource Allocation in a Vehicular Cloud Network Shilin Xu Caili Guo R. Hu Y. Qian 15 6 0 14 Aug 2020
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning Jin Wang Jia Hu Geyong Min Albert Y. Zomaya N. Georgalas OffRL 12 252 0 05 Aug 2020
Green Offloading in Fog-Assisted IoT Systems: An Online Perspective Integrating Learning and Control Xin Gao Xi Huang Ziyu Shao Yang Yang 8 1 0 01 Aug 2020
A Review on Computational Intelligence Techniques in Cloud and Edge Computing M. Asim Yong Wang Kezhi Wang Pei-qiu Huang 17 72 0 27 Jul 2020
Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems Xianfu Chen Celimuge Wu Tao Chen Zhi Liu Honggang Zhang M. Bennis Hang Liu Yusheng Ji 19 68 0 15 Jul 2020
Applying Machine Learning Techniques for Caching in Edge Networks: A Comprehensive Survey Junaid Shuja Kashif Bilal Waleed S. Alasmary Eisa A. Alanazi Abdulaziz S. Alashaikh 16 16 0 21 Jun 2020
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing Xiaolan Liu Jiadong Yu Yue Gao 21 87 0 05 Apr 2020
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Jianwei Yin Schahram Dustdar Albert Y. Zomaya 74 605 0 02 Sep 2019
Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective Xianfu Chen Celimuge Wu Tao Chen Honggang Zhang Zhi Liu Yan Zhang M. Bennis 19 139 0 06 Aug 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 21 202 0 22 Jul 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 17 975 0 19 Jul 2019
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art Viet Quoc Pham Fang Fang H. Vu Md. Jalil Piran Mai Le L. Le W. Hwang Z. Ding 23 596 0 20 Jun 2019
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing Lei Lei Huijuan Xu Xiong Xiong K. Zheng W. Xiang Xianbin Wang 20 51 0 19 Jun 2019