Blocked-Job-Offloading-Based Computing Resources Sharing in LEO Satellite Networks
- 5 November 2024
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Internet of Things Journal
- Vol. 12 (2) , 2287-2290
Abstract
This letter proposes a computing resource sharing strategy based on blocked job offloading in the low-Earth orbit (LEO) satellite network. The proposed strategy allows a satellite to share all or part of its computing resources with other satellites, and each satellite offloads or receives the blocked jobs from the adjacent satellites on the same meridian and latitude lines. Furthermore, we analyze the job execution probability, which evaluates the likelihood of the job being executed in the satellite network, for resource sharing strategies with different blocked job offloading hops. The numerical results validate the performance advantages of the computing resource sharing strategies and indicate a way to select the proper strategy.Keywords
Funding Information
- National Natural Science Foundation of China (62301273)
- Natural Science Foundation of Jiangsu Province (BK20230355)
- Key University Science Research Project of Jiangsu Province (23KJB120009)
- International Partnership Program of Chinese Academy of Sciences for Future Network (307GJHZ2023070FN)
- Horizon Europe Project CoGNETs (101135930)
- Horizon Europe Project ROBUST-6G (101139068)
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