A task scheduling system in a multi-tenant environment

Abstract

The task scheduling subsystem under the multi-tenant environment provided by the embodiment of the present invention includes a task scheduling subsystem, which is used to obtain the task information input by the user, generate a first task request, and according to the task scheduler meta-information and the first expression , to determine whether the first expression meets the overall resource requirements, and when the first expression meets the overall resource requirements, send the task executor meta-information and the first expression to the task scheduling subsystem; the task scheduling subsystem is used to The task executor meta-information and the first expression generate the first execution instruction and executor parameter information, and send them to the task execution subsystem; the task execution subsystem is used to schedule and The task executor corresponding to the executor parameter information works, which can maximize the requisition of all execution resources, increase the number of tasks for each tenant within the window time, and make the task distribution of each tenant relatively fair.

Description

technical field [0001] The invention relates to the technical field of enterprise application software, in particular to a task scheduling system in a multi-tenant environment. Background technique [0002] The business of enterprise applications is complex and changeable, and the processing of business data is relatively frequent. Compared with the personal application field, there are more scenarios that require task scheduling, so the number of scheduled tasks is also larger. Compared with personal mobile applications, enterprise mobile applications have more complex business logic and data processing logic, and have higher requirements for scheduling resources. [0003] The multi-tenant platform as a service can provide platform services for different tenants, and achieve resource management and control, resource isolation, and protect the platform by limiting resource contention among tenants. Distributed services can increase or decrease the resources in the resource...

AI Technical Summary

Problems solved by technology

[0004] The existing distributed timing scheduling has a mature system, but both the scheduling algorithm and the task call focus on resource control. The limited scheduling resources and execution resources of the multi-tenant shared scheduling platform are indeed under control, but cannot Satisfy the high requirements that enterprise application scheduling is large and business requirements should not be limited

Images