Balanced scheduling center, method, system and device for distributed tasks

Abstract

The invention discloses a balanced scheduling center, method, system and device for distributed tasks. The method includes: creating multiple task groups according to functions or types, and configuring corresponding scheduling strategies for each task group; Group customizes multiple scheduling plans, each scheduling plan corresponds to a set of executable tasks; monitor the current task execution volume of each task group, and calculate the task scheduling volume of each scheduling plan according to the configuration parameters; The current task execution amount is calculated according to the configuration parameters to obtain the task delivery amount of each task host; and according to the delivery amount of each task host, an executable task is issued to the corresponding task host. The dispatch center includes a configuration module, a task dispatch module, a task delivery module, a task cache and a monitoring module. The invention effectively improves the task execution efficiency and the utilization rate of the task host, and balances the load of the task host.

Description

technical field [0001] The present invention relates to the technical field of data transmission, in particular to a balanced scheduling center, method, system and device for distributed tasks. Background technique [0002] With the development of computer and network information technology, in some enterprise-level systems, a large number of tasks are distributed to different task hosts. How to schedule these tasks and assign them to corresponding task hosts reasonably has become an important technical issue. [0003] At present, task scheduling execution is mainly divided into the following two types: [0004] Serial single-node task scheduling, that is, a single machine completes task scheduling and execution. The real features are: simple implementation and easy maintenance. The disadvantage is: but when there are a large number of tasks that need to be scheduled and executed, the pressure on a single machine is so high that it cannot guarantee the completion of the t...

AI Technical Summary

Problems solved by technology

The disadvantage is: but when there are a large number of tasks that need to be scheduled and executed, the pressure on the single machine is so high that it is impossible to guarantee the completion of the tasks

[0014] However, the technical solutions in the prior art only use the scheduling framework and cannot monitor the execution of tasks, so the support for distributed multi-machine execution is not ideal, and it is easy to cause a backlog of some host tasks and unbalanced load

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