Computing task unloading method and system, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a computing task unloading method and system, electronic equipment and a storage medium, and the method comprises the steps: sending a computing task unloadingrequest so that a candidate executor computes the candidate executor resource distribution information of a target through an evolutionary algorithm after receiving the computing task unloading request; acquiring the state information of the current mobile network; based on the state information of the current mobile network, making an unloading decision according to an unloading decision algorithm model; unloading the computing task based on the unloading decision, wherein the unloading decision algorithm model is obtained by training based on state information of a mobile network, the stateinformation of the current mobile network comprises unloading task information, edge server information associated with a requester and the candidate executor resource allocation information. According to the computing task unloading method provided by the invention, the flexibility of computing task unloading and the accuracy of decision making can be improved, and the extra overhead of the communication node in the task unloading and executing process is effectively reduced.

Description

technical field [0001] The present invention relates to the technical field of communications, and in particular to a calculation task offloading method and system, electronic equipment and a storage medium. Background technique [0002] With the rapid development of science and technology, the rise of emerging application services with computing-intensive and time-delay-sensitive requirements such as virtual reality, live broadcast services, and unmanned driving, the limited computing power of mobile terminals has been greatly challenged. Due to the limited computing power and battery capacity of mobile devices, and the demand for computing resources of current applications is showing a growing trend (for example, the transcoding requirements of real-time video files and real-time computing for safe driving, etc.) to the cloud service platform. There was tremendous service pressure. At the same time, this trend has become a new bottleneck for current mobile users to pursue...

AI Technical Summary

Problems solved by technology

[0004] Existing optimization strategies for mobile computing offloading are designed based on a single definite optimization goal, but the process of computing offloading will be affected by factors such as user usage habits, radio channel communication conditions, backhaul connection quality, mobile device performance and cloud The influence of different factors such as server availability

The computing offloading algorithm in the prior art is difficult to adapt to various computing offloading optimization requirements based on user-centered or network optimization-centered, as well as control scalability and flexibility requirements

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