Online Service Deployment on Mega-LEO Satellite Constellations for End-to-End Delay Optimization
Author:
Affiliation:
1. Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China
2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/6488902/10382160/10285043.pdf?arnumber=10285043
Reference47 articles.
1. Is LEO-Based Positioning with Mega-Constellations the Answer for Future Equal Access Localization?
2. Next Generation Mega Satellite Networks for Access Equality: Opportunities, Challenges, and Performance
3. Futuristic 6G Pervasive On-Demand Services: Integrating Space Edge Computing With Terrestrial Networks
4. Satellite Mobile Edge Computing: Improving QoS of High-Speed Satellite-Terrestrial Networks Using Edge Computing Techniques
5. Satellite-Terrestrial Integrated Edge Computing Networks: Architecture, Challenges, and Open Issues
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1. An online integrated satellite–terrestrial IoT task offloading and service deployment strategy;Internet of Things;2024-07
2. DRL-Based Two-Stage SFC Deployment Approach Under Latency Constraints;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20
3. Task Offloading With Service Migration for Satellite Edge Computing: A Deep Reinforcement Learning Approach;IEEE Access;2024
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