CAJ | 학술논문

针对传统电力系统计算平台在计算、存储、信息集成和分析等方面的不足，建立基于云计算的电力系统计算平台。针对电力云计算平台中对关联任务调度进行调度时出现任务执行延迟的问题，提出了一种基于任务分层算法DAG。算法将任务按任务集合优先级的高低顺序调度至具有最小完成时间的资源上。试验证明关联任务调度算法能够有效地减缓关联任务延迟。
침대전통전력계통계산평태재계산、존저、신식집성화분석등방면적불족，건립기우운계산적전력계통계산평태。침대전력운계산평태중대관련임무조도진행조도시출현임무집행연지적문제，제출료일충기우임무분층산법DAG。산법장임무안임무집합우선급적고저순서조도지구유최소완성시간적자원상。시험증명관련임무조도산법능구유효지감완관련임무연지。
Because of the continuous expansion of modern power systems,ever increasing computation and data processingcapabilities are demanded for power system analysis.The existing computing platform of power systems, however,cannot meet these requirements.Given this background, an advanced power system computing plat form based on cloudcomputing is presented.In this paper,a related task scheduling algorithm based on task hierarchy wad proposed.Experiment results demonstrated that the proposed scheduling algorithm has better performances in the terms of time execution and efficiency.