Multilevel distributed task processing system

Abstract

The invention discloses a multilevel distributed task processing system which comprises a plurality of computer nodes in intercommunication with each other, wherein all the computer nodes are connected with a same node server; the node server comprises a task level scheduling module, a sub-task level cutting module and a task managing module; the task level scheduling module is used for storing a task in a 'first in, first out' mode and distributing the task to a corresponding computer node according to a 'least recently used' principle when a user task request is received; the sub-task level cutting module is used for cutting the task into a plurality of sub-tasks and calling the task level scheduling module for distributing the cut sub-tasks to different computer nodes when a treating task is received; the task managing module is used for recycling a computed result of each sub-task from different computer nodes and assembling the computed result of each sub-task into a complete task result; each of the computer nodes comprises an OpenMP inner core level module. The multilevel distributed task processing system is used for increasing the parallel processing efficiency of each task.

Description

technical field [0001] The invention relates to the field of distribution network, in particular to a multi-level distributed task processing system. Background technique [0002] The rapid development of distribution network provides a broad prospect for the research and application of distribution automation advanced application software. Unlike the transmission network, which generally only governs a few thousand devices, the urban distribution network is a more complex and huge network system, and the distribution network needs to govern tens of thousands or even hundreds of thousands of power devices. Therefore, many advanced application functions in the process of distribution network dispatching, operation and management (such as state estimation, power flow calculation, network reconfiguration, load forecasting, safety operation analysis, economic optimization operation, etc.) involve massive computing work. Take the most commonly used large-scale matrix calculation...

AI Technical Summary

Problems solved by technology

But generally speaking, the existing technology still has outstanding problems such as long calculation time, many concurrent conflicts of multi-tasks, and difficulty in meeting high real-time application requirements.

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