Blocked-Job-Offloading-Based Computing Resources Sharing in LEO Satellite Networks
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.
Authors
- Pei Peng (ORCID: https://orcid.org/0000-0001-8752-4306)
- Celimuge Wu (ORCID: https://orcid.org/0000-0001-6853-5878)
- Xianfu Chen (ORCID: https://orcid.org/0000-0002-9453-4200)
- Charilaos C. Zarakovitis (ORCID: https://orcid.org/0000-0001-8729-0378)
- Tianheng Xu (ORCID: https://orcid.org/0000-0002-7152-1378)
Institutions
- Chinese Academy of Sciences (CN)
- University of Electro-Communications (JP)
- Nanjing University of Posts and Telecommunications (CN)
- Shanghai Advanced Research Institute (CN)
- Cloud Computing Center (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1109/jiot.2024.3491839
- Citations
- 9
- Primary Topic
- Satellite Communication Systems
- Type
- article
- Field-Weighted Citation Impact
- 11.69
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Jiangsu Province
- Key University Science Research Project of Jiangsu Province