Multi-Agent Deep Reinforcement Learning for Cooperative Computing Offloading and Route Optimization in Multi Cloud-Edge Networks
Author:
Affiliation:
1. NTT Network Service Systems Laboratories, NTT Corporation, Tokyo, Japan
2. Graduate School of Informatics, Kyoto University, Kyoto, Japan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/4275028/10355751/10104143.pdf?arnumber=10104143
Reference52 articles.
1. Cooperative Task Offloading in Three-Tier Mobile Computing Networks: An ADMM Framework
2. Profit-Maximized Collaborative Computation Offloading and Resource Allocation in Distributed Cloud and Edge Computing Systems
3. Collaborative Cloud-Edge-End Task Offloading in Mobile-Edge Computing Networks With Limited Communication Capability
4. A Deep Reinforcement Learning Based Offloading Game in Edge Computing
5. Deep Reinforcement Learning for Collaborative Offloading in Heterogeneous Edge Networks
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