Paper
20 June 2023 Offloading decision and resource allocation for NDN-based satellite edge computing
Hao Xing, Jiangtian Lu, Xinyi Zhu, Jikun Qiu
Author Affiliations +
Proceedings Volume 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023); 127151Q (2023) https://doi.org/10.1117/12.2682391
Event: Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 2023, Dalian, China
Abstract
The low-orbit satellite constellation is an important part of a space-ground integrated network. MEC servers can be deployed to realize on-orbit processing by offloading tasks to satellites. On the other hand, NDN natively provides mobility support for consumers, so integrating NDN into the satellite network can solve the difficult mobility management problems of IP. However, input parameters in current offloading algorithms are default obtained from users, and they rarely consider the existence of inter-satellite links, which are not suitable for NDN scenarios. Therefore, we propose an architecture, studies the task offloading problem in LEO satellites based on NDN and proposes an optimization algorithm. Simulation results show that the algorithm finally converges and has better performance than the other two algorithms.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hao Xing, Jiangtian Lu, Xinyi Zhu, and Jikun Qiu "Offloading decision and resource allocation for NDN-based satellite edge computing", Proc. SPIE 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 127151Q (20 June 2023); https://doi.org/10.1117/12.2682391
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KEYWORDS
Satellites

Network architectures

Mathematical optimization

Optimal decision systems

Systems modeling

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