Task switching method and device

Abstract

The present application provides a task switching method and device, wherein the task switching method includes: receiving a task switching instruction submitted for the target business; based on the task switching instruction, switching the task state of the target task in the execution of the target business; The task state switching result updates the task execution policy of the target task; wherein, the task state includes an explicit task state and an implicit task state, and the explicit task state corresponds to the implicit task state Different task execution strategies. According to this method, real-time switching of tasks can be realized, and multi-dimensional, high-computing tasks can be implemented in real time. In the process of detecting the target business, tasks can be automatically switched according to the actual situation, so that the current tasks that need to be paid attention to It can be displayed emphatically, and unimportant tasks can be hidden in the background, which ensures the reasonable allocation of computing resources and reduces the pressure on the system's hardware.

Description

technical field [0001] The present application relates to the technical field of program startup, and in particular, to a task switching method. The present application also relates to a task switching apparatus, a computing device, and a computer-readable storage medium. Background technique [0002] With the development of Internet technology, there are more and more application scenarios of real-time detection tasks in the computer field, and in order to realize the detection results of real-time detection tasks, on the premise of ensuring the accuracy, they can be more closely integrated with real scenes. The detection dimensions involved in real-time detection tasks are becoming more and more. Correspondingly, the amount of data that the device needs to process increases rapidly, and the computing resources invested in the real-time detection task also increase. In the prior art, in order to ensure the equipment The hardware pressure of the real-time detection task can...

AI Technical Summary

Problems solved by technology

[0002] With the development of Internet technology, there are more and more real-time detection task application scenarios in the computer field, and in order to realize the detection results of real-time detection tasks can be more closely integrated with the real scene under the premise that the accuracy is guaranteed, The detection dimensions involved in real-time detection tasks are becoming more and more. Correspondingly, the amount of data that the equipment needs to process increases rapidly, and the computing resources invested in real-time detection tasks also increase sharply. In the existing technology, in order to ensure that the equipment The hardware pressure can be controlled within a controllable range, and the detection dimensions of real-time detection tasks are often castrated to detect fewer dimensions to ensure less calculation, or real-time detection tasks are not performed, and only historical services are detected. , through more detection time to complete detection tasks with more dimensions and a greater amount of calculation. However, real-time detection tasks with fewer dimensions cannot guarantee the fit between detection tasks and real scenes, which greatly reduces the scope of use. Only Real-time detection tasks with relatively simple processing scenarios can ensure the correctness of detection results, while abandoning the detection tasks of real-time detection has stricter restrictions on the implementation scenarios of detection tasks, which seriously affects the implementation scope of detection tasks. Therefore, it is urgently needed A method to solve the above problem

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