TY - GEN
T1 - STCC-Sim
T2 - 2025 IEEE International Conference on Joint Cloud Computing, JCC 2025
AU - Ma, Tianjiao
AU - Xu, Wei
AU - Ding, Zhe
AU - Wo, Tianyu
AU - Liu, Xudong
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - The Satellite-Terrestrial Integrated Network (STIN) technology based on low-earth orbit (LEO) satellites provides a seamless network with low latency and high reliability to global users. The Space-Terrestrial Collaborative Computing (STCC) paradigm based on STIN has become a promising solution for ubiquitous computing. Due to the mobility of satellites and the vulnerability of inter-satellite and satellite-terrestrial network connections, the research on resource scheduling strategy, configuration, and deployment of STCC services is more complex than that of ground cloud services. The lack of simulators further restricts the development of STCC research. In order to solve this problem, we propose an STCC simulation tool for the satellite-terrestrial hybrid cloud in this paper. The tool can simulate the hybrid network models and support the simulation of the flow computing model. By evaluating the performance of the task offloading policy, we demonstrate the effectiveness of the simulation tool.
AB - The Satellite-Terrestrial Integrated Network (STIN) technology based on low-earth orbit (LEO) satellites provides a seamless network with low latency and high reliability to global users. The Space-Terrestrial Collaborative Computing (STCC) paradigm based on STIN has become a promising solution for ubiquitous computing. Due to the mobility of satellites and the vulnerability of inter-satellite and satellite-terrestrial network connections, the research on resource scheduling strategy, configuration, and deployment of STCC services is more complex than that of ground cloud services. The lack of simulators further restricts the development of STCC research. In order to solve this problem, we propose an STCC simulation tool for the satellite-terrestrial hybrid cloud in this paper. The tool can simulate the hybrid network models and support the simulation of the flow computing model. By evaluating the performance of the task offloading policy, we demonstrate the effectiveness of the simulation tool.
KW - LEO satellite constellation
KW - modeling and simulation
KW - resource provisioning
KW - satellite-terrestrial collaborative computing
KW - task offloading
UR - https://www.scopus.com/pages/publications/105016179395
U2 - 10.1109/JCC67032.2025.00018
DO - 10.1109/JCC67032.2025.00018
M3 - 会议稿件
AN - SCOPUS:105016179395
T3 - Proceedings - 2025 IEEE International Conference on Joint Cloud Computing, JCC 2025
SP - 101
EP - 108
BT - Proceedings - 2025 IEEE International Conference on Joint Cloud Computing, JCC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 July 2025 through 24 July 2025
ER -