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能源互联网运营平台任务调度与并发处理技术研究

季知祥 王晓辉 吴丹

全球能源互联网(英文)2022,Vol.5Issue(6):579-589,11.
全球能源互联网(英文)2022,Vol.5Issue(6):579-589,11.DOI:10.1016/j.gloei.2022.12.001

能源互联网运营平台任务调度与并发处理技术研究

Research on task scheduling and concurrent processing technology for energy internet operation platform

季知祥 1王晓辉 1吴丹1

作者信息

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摘要

Abstract

The energy Internet operation platform provides market entities such as energy users, energy enterprises, suppliers, and governments with the ability to interact, transact, and manage various operations. Owing to the large number of platform users, complex businesses, and large amounts of data-mining tasks, it is necessary to solve the problems afflicting platform task scheduling and the provision of simultaneous access to a large number of users. This study examines the two core technologies of platform task scheduling and multiuser concurrent processing, proposing a distributed task-scheduling method and a technical implementation scheme based on the particle swarm optimization algorithm, and presents a systematic solution in concurrent processing for massive user numbers. Based on the results of this study, the energy internet operation platform can effectively deal with the concurrent access of tens of millions of users and complex task-scheduling problems.

关键词

能源互联网/分布式任务调度/并发处理

Key words

Energy Internet/Distributed task scheduling/Concurrent processing

引用本文复制引用

季知祥,王晓辉,吴丹..能源互联网运营平台任务调度与并发处理技术研究[J].全球能源互联网(英文),2022,5(6):579-589,11.

基金项目

This work was supported by the Science and Technology Project of State Grid Corporation"Research and Application&nbsp ()

of Internet Operation Platform for Ubiquitous Power Internet of Things"(5700-201955462A-0-0-00). (5700-201955462A-0-0-00)

全球能源互联网(英文)

OACSCDCSTPCDEI

2096-5117

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