A Leo satellite network computing offloading method for hybrid cloud and edge computing

Abstract

The invention relates to a computing unloading method for a LEO satellite network of hybrid cloud and edge computing, and belongs to the technical field of computing offloading. Including 1) initializing the LEO satellite network of hybrid cloud and edge computing; 2) judging whether the iteration sequence number value is less than the maximum number of iterations, if so, skip to 3), if not, skip to 8); 3) execute for each LEO satellite Update the local decision vector operation; 4) Update the relaxed global decision vector; 5) Update the scaled Lagrangian multiplier vector; 6) Add 1 to the iteration sequence number; 7) Determine whether all ground users satisfy the two The convergence condition or the value of the iteration sequence number reaches the maximum number of iterations T, if so, skip to 8), if not, skip to 2); 8) restore the relaxed global decision vector to a binary value; 9) output the optimal ground user calculation unloading decision vector . The method can improve the calculation ability, reduce the calculation complexity of the calculation unloading method and the energy consumption of ground users.

Description

technical field [0001] The invention relates to a computing unloading method for a LEO satellite network of hybrid cloud and edge computing, and belongs to the technical field of computing offloading. Background technique [0002] In recent years, satellite technology has made great strides in commercial, civilian and military services with the development of space communication networks, making Low Earth Orbit (LEO) satellites economical and miniaturized. Currently, many countries have implemented some LEO satellite projects, such as OneWeb, SpaceX Starlink and O3b, and the latest news shows that SpaceX will cooperate with Azure to provide users with global communication services. Compared with the ground mobile communication system, the LEO satellite communication network has the advantage of being able to realize seamless global coverage. In addition, the popularity of mobile devices has spawned many computing-intensive applications, and the LEO satellite network also ne...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to propose a hybrid cloud and edge computing solution for the technical defects of the limited computing resources of the two-tier computing network, the computational complexity of the existing computing offloading method, and the high energy consumption of ground users mentioned in the background technology. LEO satellite network computing offloading method, in this method, ground users choose to perform computing tasks locally according to different computing needs, or execute on LEO satellites or further offload to cloud services for processing

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