Computing task offloading system and method

Abstract

The present invention provides a computing task offloading system including a mobile edge computing server, a user terminal and a communication network, the mobile edge computing server undertakes the computing task offloaded by the user terminal, and the user terminal realizes the offloading of the computing task through the computing task offloading method. Computing tasks are offloaded to run on the edge computing server via the communication network. The computing task offloading method provides a computing task offloading model, formulating a computing task offloading decision non-cooperative game model based on the computing task offloading model, and formulating a computing task offloading game method based on the principle of game theory through the non-cooperative game model to obtain the result. The method for offloading computing tasks is described. The system and method jointly optimize the energy consumption and time delay of computing task offloading of each user terminal, and find a Nash equilibrium solution that minimizes the energy consumption and time delay of computing task offloading of each user terminal.

Description

【Technical field】 [0001] The present invention relates to mobile edge computing technology in the field of information technology, to game theory, 5G network technology and mobile edge computing applications, and in particular to a computing task offloading method for mobile edge computing. 【Background technique】 [0002] The rapid development of mobile Internet and Internet of Things technology has promoted the birth of 5G network technology. 5G network is facing the challenges of explosive growth of data communication and large-scale device connection in various novel and complex business scenarios, such as smartphones, self-driving cars, smart Power grids and industrial communications, etc. However, due to various limitations of mobile user terminals / equipment (UEs), including battery power, computing power, and storage capacity, the above-mentioned low-latency and high-complexity applications often cannot be executed efficiently on UEs, On the contrary, it affects the us...

AI Technical Summary

Problems solved by technology

[0005] In view of the various limitations of the user terminal in the prior art in the mobile user terminal in the 5G network, including battery power, computing power and storage capacity, the problem that low-latency and high-complexity applications cannot be efficiently executed on the mobile user terminal, The present invention provides a computing task offloading system and method for mobile edge computing based on the principle of game theory

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