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Concurrent multi-task pre-processing method for leo mega-constellation based on dynamic spatio-temporal grids

Chinese Journal of Aeronautics 2023年第11期36卷 233-248页

作者： Xibin CAO Ning LI Shi QIU Research Center of Satellite Technology Harbin Institute of TechnologyHarbin 150080China

The Low Earth Orbit(leo)remote sensing satellite mega-constellation has the characteristics of large quantity and various types which make it have unique superiority in the realization of concurrent multiple ***,the complexity of resource allocation is increased because of the large number of tasks and ***,the primary problem of implementing concurrent multiple tasks via leo mega-constellation is to pre-process tasks and observation *** address the challenge,we propose a pre-processing algorithm for the mega-constellation based on highly Dynamic Spatio-Temporal Grids(DSTG).In the first stage,this paper describes the management model of mega-constellation and the multiple ***,the coding method of DSTG is proposed,based on which the description of complex mega-constellation observation resources is *** the third part,the DSTG algorithm is used to realize the processing of concurrent multiple tasks at multiple levels,such as task space attribute,time attribute and grid task importance ***,the simulation result of the proposed method in the case of constellation has been given to verify the effectiveness of concurrent multi-task pre-processing based on *** autonomous processing process of task decomposition and task fusion and mapping to grids,and the convenient indexing process of time window are verified.

关键词： leo mega-constellation Concurrent multiple tasks Tasks pre-processing Highly dynamic spatiotemporal grids Multi-task fusion merging Importance evaluation

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Big Data Application Simulation Platform Design for Onboard Distributed Processing of leo mega-constellation Networks

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China Communications 2024年第7期21卷 334-345页

作者： Zhang Zhikai Gu Shushi Zhang Qinyu Xue Jiayin School of Electronics and Information Engineering Harbin Institute of Technology(Shenzhen)Shenzhen 518055China Guangdong Provincial Key Laboratory of Aerospace Communication and Networking Technology Shenzhen 518055China Broadband Communications Research Department Peng Cheng LaboratoryShenzhen 518000China

Due to the restricted satellite payloads in leo mega-constellation networks(LMCNs),remote sensing image analysis,online learning and other big data services desirably need onboard distributed processing(OBDP).In existing technologies,the efficiency of big data applications(BDAs)in distributed systems hinges on the stable-state and low-latency links between worker ***,LMCNs with high-dynamic nodes and long-distance links can not provide the above conditions,which makes the performance of OBDP hard to be intuitively *** bridge this gap,a multidimensional simulation platform is indispensable that can simulate the network environment of LMCNs and put BDAs in it for performance *** STK's APIs and parallel computing framework,we achieve real-time simulation for thousands of satellite nodes,which are mapped as application nodes through software defined network(SDN)and container *** elaborate the architecture and mechanism of the simulation platform,and take the Starlink and Hadoop as realistic examples for *** results indicate that LMCNs have dynamic end-to-end latency which fluctuates periodically with the constellation *** to ground data center networks(GDCNs),LMCNs deteriorate the computing and storage job throughput,which can be alleviated by the utilization of erasure codes and data flow scheduling of worker nodes.

关键词： big data application Hadoop leo mega-constellation multidimensional simulation onboard distributed processing

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