Computing task intelligent unloading and safety guarantee method in 5G edge computing environment

Abstract

The invention discloses a computing task intelligent unloading and safety guarantee method in a 5G edge computing environment. The method comprises the following steps: firstly, considering the mobility of a user in an unloading process, estimating the residence time of the user in a base station, considering the mobility, consumed time delay and energy of the user in the unloading process and the cost paid to an MEC (Mobile Edge Computing) server by the user, taking maximization of system benefits as a target, and acquiring an unloading scheme of a user by adopting Q-Learning; secondly, considering load balance among the base stations, performing priority ranking on user tasks, and assigning appropriate base station unloading to the tasks, so that computing resources of an MEC server and channel resources of the base stations are utilized more effectively; and in addition, considering the security of a user task during unloading too, and adopting AES encryption based on multi-dimensional biological characteristics for data transmitted between the MEC and the user.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a computing task intelligent offloading and security guarantee method in a 5G edge computing environment. Background technique [0002] Due to the rapid development of communication technology, communication methods are becoming increasingly diversified. 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, but due to the limited resources of terminal devices, mobile edge computing (MEC) can write part of the computing tasks to the edge server, so as to quickly process the application data. [0003] However, there are still many problems in the current mobile edge computing. For example, during the task offloading period, the user can c...

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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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