Task queue execution time prediction method and device and implementation device

Abstract

The invention provides a task queue execution time prediction method and device and an implementation device. The method is applied to a server. The method comprises the steps of obtaining a to-be-processed task queue; Wherein the to-be-processed task queue comprises a plurality of to-be-processed sub-tasks; Determining basic parameters of each to-be-processed sub-task according to the to-be-processed task queue; Wherein the basic parameters comprise a concurrent state and complexity; Obtaining resource parameters of the server; Wherein the resource parameters comprise the CPU occupancy rate,the input / output port utilization rate and the memory occupancy rate of the host process; And predicting the execution time of the to-be-processed task queue according to the basic parameters, the resource parameters and the pre-obtained task execution average time. According to the method, the execution time of the to-be-processed task queue is reasonably predicted, and the resource scheduling optimization efficiency in the service queue application scene is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a task queue execution time prediction method, device and implementation device. Background technique [0002] In the business queue application scenario, when the system is busy, the task execution in the queue is prone to task accumulation and processing delay; and in the system execution platform, due to the uneven distribution of the executed task complexity and the dynamics of system resources The execution time of tasks with the same business logic may vary greatly on different computing nodes or at different time periods, making it difficult to reasonably predict the execution time of task queues, resulting in low efficiency in optimizing resource scheduling in business queue application scenarios. Contents of the invention [0003] In view of this, the purpose of the present invention is to provide a task queue execution time prediction method, device and impl...

AI Technical Summary

Problems solved by technology

[0002] In the business queue application scenario, when the system is busy, the task execution in the queue is prone to task accumulation and processing delay; and in the system execution platform, due to the uneven distribution of the executed task complexity and the dynamics of system resources Changes, the execution time of tasks with the same business logic on different computing nodes or in different periods may vary greatly, making it difficult to reasonably predict the execution time of task queues, resulting in low optimization resource scheduling efficiency in business queue application scenarios

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