A method for intelligent offloading and security assurance of computing tasks in a 5G edge computing environment

Abstract

The invention discloses a computing task intelligent offloading and security guarantee method in a 5G edge computing environment. The method first considers the user's mobility during the offloading process, estimates the user's stay time in the base station, and considers the user's mobility during the offloading process. , the time delay and energy consumed, and the fee paid by the user to the MEC server. With the goal of maximizing system benefits, Q-Learning is used to obtain the user's offloading solution; secondly, considering the load balancing between base stations, the user task is prioritized Level sorting, assigning the appropriate base station offload for the task, so as to more effectively use the computing resources of the MEC server and the channel resources of the base station; in addition, the security of the user task during offloading is also considered, and the data transmitted between the MEC and the user is adopted. AES encryption based on multi-dimensional biometrics.

Description

technical field [0001] The invention relates to the field of communication technologies, in particular to a method for intelligently unloading computing tasks and ensuring safety in a 5G edge computing environment. Background technique [0002] Due to the rapid development of communication technology, the methods of communication are becoming more and more diverse. A series of new communication services such as augmented reality services (AR), virtual reality services (VR), autonomous driving technology, etc., are different from traditional communication technologies. These real-time services require fast processing of a large amount of application data. However, due to the limited resources of terminal devices, some computing tasks can be written to the edge server through mobile edge computing (MEC), so that application data can be processed quickly. [0003] However, there are still many problems in the current mobile edge computing. For example, during task offloading, u...

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Problems solved by technology

[0003] However, there are still many problems in the current mobile edge computing. For example, during the task offloading period, the user can choose to offload the data of the computing task to the MEC server via a wireless channel, which may cause sensitive private data to be violated; The exponential expansion of the number of users in some areas may lead to different loads of different base stations. Some base stations may be severely loaded, while some base stations may still have a large amount of computing resources remaining, and it is urgent to load base stations with different coverage areas. balance; in addition, during task offloading, user mobility may also prevent users from obtaining calculation results, resulting in waste of computing resources and energy

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