Distributed computing multiple application function asynchronous concurrent scheduling method

Abstract

The invention belongs to the field of distributed computing, and provides a multiple application function asynchronous concurrent scheduling method, which is applied to a distributed computing management platform. The distributed computing management platform combines the time consumption characteristic and number of the computing tasks of each application function and the scale and performance information of a computer cluster node, realizes the computing operation of each application function by independently setting a proper computing operation scheduling grain size for each application function, and adds the computing operation into the scheduling sequence of the distributed computer management platform to realize the computing task asynchronous concurrent submission of the plurality of application functions, the uniform scheduling of the computing operation of the plurality of application functions and the computing result asynchronous recovery of the plurality of application functions, thereby fully utilizing the computing performance of the computer cluster and reducing computing time.

Description

technical field [0001] The invention belongs to the field of distributed computing, more precisely, it is a multi-application function asynchronous concurrent scheduling method of a distributed computing management platform that can be used for power system analysis and computing but not limited thereto. Background technique [0002] In the field of distributed computing, especially the field that requires a large amount of calculation, such as in the field of power system security and stability analysis, with the increasing scale of the power grid, especially in online applications, the real-time response speed of stability analysis calculation has become the focus of the problem. At present, distributed computing technology is recognized as one of the effective technical means to solve the real-time analysis and calculation of large-scale and complex power grids. [0003] Distributed computing technology builds a distributed computing management platform through the networ...

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Problems solved by technology

[0007] The above-mentioned invention patents do not support the comprehensive consideration of the timing relationship of multiple application functions, and realize the asynchronous and concurrent calculation of computing tasks of multiple application functions; they cannot combine the differences in time-consuming characteristics of computing tasks of different application functions, and automatically select the corresponding scheduling strategy to reduce scheduling. overhead time, thereby shortening the calculation cycle of the entire system

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