Offloading decision and resource allocation for NDN-based satellite edge computing

Haoru Xing, Jiangtian Lu, Xinyi Zhu, Jikun Qiu
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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.
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基于ndn的卫星边缘计算卸载决策与资源分配
低轨卫星星座是天地一体网的重要组成部分。通过部署MEC服务器,将任务卸载给卫星,实现在轨处理。另一方面,NDN本身为消费者提供移动性支持,因此将NDN集成到卫星网络中可以解决IP难以解决的移动性管理问题。但是,目前的卸载算法的输入参数都是默认从用户处获取,很少考虑星间链路的存在,不适合NDN场景。为此,我们提出了一种体系结构,研究了基于NDN的LEO卫星任务卸载问题,并提出了一种优化算法。仿真结果表明,该算法最终收敛,性能优于其他两种算法。
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