A method, device and readable storage medium for task offloading

Abstract

The present application discloses a method for task offloading, including: sending task information of a current task to a corresponding base station server, so that the base station server calculates the optimal offloading probability of the current task according to the task information; receiving the optimal offloading probability returned by each base station server Unloading probability, and calculate the average unloading probability according to each optimal unloading probability; judge whether the current task needs to be unloaded according to the average unloading probability; if so, select the optimal base station server from each base station server, and offload the current task to the optimal unloading probability base station server. This application determines whether the current task needs to be unloaded according to the average unloading probability. If necessary, the current task is unloaded to the optimal base station server to complete the entire task unloading process, which greatly reduces the computational complexity of task unloading and improves the task unloading efficiency. efficiency. The present application also provides a task offloading device and a readable storage medium, which have the above beneficial effects.

Description

technical field [0001] The present application relates to the field of task offloading, and in particular, to a method, device and readable storage medium for task offloading. Background technique [0002] Due to the limited power reserve and computing power of mobile devices, when running computationally intensive tasks, if the tasks are run locally on the mobile device, the power of the device will be rapidly depleted, thereby significantly reducing the life of the device. The task offloading technology in edge computing is an effective method to solve the above problems. Mobile devices can offload their computing tasks to nearby edge servers, thereby obtaining more powerful computing resources and saving their own power. [0003] The deployment of 5G technology base stations is characterized by the high deployment density of micro base stations, users may be covered by multiple base stations, and the problem of overlapping coverage areas of base stations occurs. However, ...

AI Technical Summary

Problems solved by technology

[0003] The deployment of 5G technology base stations is characterized by the high deployment density of micro base stations, and users may be covered by multiple base stations, resulting in overlapping coverage areas of base stations. However, many of the existing edge computing task offloading applications are based on 4G macro base stations. , when calculating the coverage of multiple base stations, the complexity of the algorithm will be extremely high, and it is difficult to calculate

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