Task distribution method and system

Abstract

The invention provides a task distribution method and system. According to the method, expandable distribution information is stored, wherein the distribution information comprises distribution types, distribution rules and executers, each distribution type corresponds to at least one distribution rule and each distribution rule corresponds to at least one executer. The method comprises the following steps: S1, obtaining a task distribution request, wherein the task distribution request comprises a to-be-distributed task and a unique ID number; S2, matching a distribution type in the distribution information according to the to-be-distributed task; S3, matching the to-be-distributed task with a distribution rule corresponding to the matched distribution type, and entering step S4 if the matching is successful; S4, sending the task distribution request to an executer corresponding to the distribution rule successfully matched with the to-be-matched task. The method and system have universality and can be used for distributing to-be-distributed tasks to corresponding executers according to the distribution types and the distribution rules.

Description

technical field [0001] The invention relates to a task allocation method and system. Background technique [0002] Task assignment with semantics refers to assigning tasks to designated subjects to complete according to the attribute values ​​of tasks. For example, task T, which has attributes P1 and P2, is assigned to subject S1 when P1=1, and assigned to subject S2 when P2=2. Currently existing task assignment systems such as the Route (routing ) is to assign different task requests to specific executors for execution. [0003] At present, the implementation of assignment tasks is mostly tightly coupled with the corresponding business model, and its assignment rules are too simple and cannot or are difficult to change. Usually, the assignment rules are fixed. If new assignment rules are required, a new assignment procedure is required, which cannot Behavior when changing allocations, features such as allocation policies, sticky allocations, and associated allocations ar...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a task assignment method and a task assignment method to overcome the disadvantages of the existing system, such as poor flexibility and lack of versatility, due to the fact that the assignment rules adopted by the task assignment system in the prior art are too simple and the assignment rules are fixed. system

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