低轨卫星网络中业务图驱动的星间协作计算方案

国晓博; 任智源; 程文驰; 纪哲

doi:10.11959/j.issn.2096-8930.2021018

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低轨卫星网络中业务图驱动的星间协作计算方案

专题：空间组网与交换技术 | 更新时间：2024-06-03

- 低轨卫星网络中业务图驱动的星间协作计算方案
- Inter-Satellite Cooperative Computing Scheme Driven by Business Graph in LEO Satellite Network
- 天地一体化信息网络 2021年2卷第2期页码：35-44
- 作者机构：
  
  1. 中国电子科技集团第五十四研究所，河北石家庄 050081
  2. 西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071
  3. 北京邮电大学信息与通信工程学院，北京 100876
- 作者简介：
  
  [ "国晓博（1985-），中国电子科技集团第五十四研究所高级工程师，主要研究方向为天地一体化信息网络、软件定义网络" ]
  [ "任智源（1983-），西安电子科技大学副教授，硕士生导师，主要研究方向为面向卫星网络、无人机网络等高动态场景的网络计算，业务驱动的可编程网络设计与开发平台等" ]
  [ "程文驰（1986-），西安电子科技大学教授，博士生导师，主要研究方向为后5G/6G通信网络关键技术、无线网络时延管控、全双工、卫星互联网等" ]
  [ "纪哲（1989-），北京邮电大学信息与通信工程学院讲师，主要研究方向为空天信息网络、机器学习等" ]
- 基金信息：
  
  科技部重点研发计划资助项目;Key Research and Development Plan of Ministry of Science and Technology(2019YFB1803305)
- DOI：10.11959/j.issn.2096-8930.2021018
  中图分类号： TN927+.23
- 网络出版日期：2021-06，
  
  纸质出版日期：2021-06-20
- 稿件说明：
移动端阅览
国晓博, 任智源, 程文驰, 等. 低轨卫星网络中业务图驱动的星间协作计算方案[J]. 天地一体化信息网络, 2021,2(2):35-44.

Xiaobo GUO, Zhiyuan REN, Wenchi CHENG, et al. Inter-Satellite Cooperative Computing Scheme Driven by Business Graph in LEO Satellite Network[J]. Space-integrated-ground information networks, 2021, 2(2): 35-44.
国晓博, 任智源, 程文驰, 等. 低轨卫星网络中业务图驱动的星间协作计算方案[J]. 天地一体化信息网络, 2021,2(2):35-44. DOI： 10.11959/j.issn.2096-8930.2021018.

Xiaobo GUO, Zhiyuan REN, Wenchi CHENG, et al. Inter-Satellite Cooperative Computing Scheme Driven by Business Graph in LEO Satellite Network[J]. Space-integrated-ground information networks, 2021, 2(2): 35-44. DOI： 10.11959/j.issn.2096-8930.2021018.

摘要

低轨卫星网络具备覆盖范围广、星地链路短等优点，成为当前的热点研究领域。针对将业务卸载到云计算中心产生过高传输时延的问题，提出在低轨卫星网络中实现业务图驱动的星间协作计算方法。该方法首先依托加权时间扩展图模型，屏蔽低轨卫星网络的动态性；之后联合多颗卫星的计算资源和星间链路资源，将有向无环图形式的业务调度到传输路径内的卫星上，实现业务在低轨卫星网络内的“边传输边计算”。仿真结果表明，当数据量取5 MB时，星间协同计算的时延性能相比地面云计算提高了58.9%。

Abstract

Low earth orbit-satellite network (LEO-SN) has the advantages of wide coverage and short satellite-to-earth link

and has become a current hot research fi eld.A business graph-driven inter-satellite collaborative computing method in LEO-SN was proposed to solve the problem of high transmission delay when the task was oﬄ oaded to the cloud computing center.This method shielded the dynamics of LEO-SN by relying on the weighted time expansion graph model

combined multiple satellite computing resources

and dispatches tasks in the form of a directed acyclic graph to the satellites in the transmission path

thereby realizing the ＆quot;computing while transmitting” of user services in the satellite cluster.The simulation results showed that when the data volume was 5 MB

the latency performance of on-orbit collaborative computing was improved by 58.9% compared to ground cloud computing.

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