配电网监测数据索引集群的分布缓存方法OACSTPCD
Distributed Cache Method for Index Cluster of Distribution Network Monitoring Data
针对配电网监测数据急剧增加导致配电网监控系统响应时间过长的问题,本文提出一种热点数据部分链表分布缓存方法.首先,引入缓存技术并分析原有热点数据链表缓存方法的局限性,提出一种新的缓存方法以提高缓存管理效率;然后,设计预热查询实现索引系统的热启动从而提高索引系统的缓存命中率;最后,以配电网监测数据为算例,验证所提方法的效果.测试结果表明,所提出的缓存方法及设计的预热查询能在不同查询条件下大幅减少索引集群的查询时间,有效提高配电网监测数据索引集群的查询效率.
Aimed at the problem that the response time in distribution network monitoring system is too long due to a rapid increase in distribution network monitoring data,a hot data part link list(HDPL)distributed cache method is pro-posed in this paper.By introducing cache technology and analyzing the limitations of the existing hot data link list(HDL)cache method,a novel HDPL cache method is proposed to improve cache management efficiency.Meanwhile,a preheated query is designed to realize a hot start for the index system,so as to improve the cache hit ratio of the index system.The monitoring data of one distribution network is taken as an example to verify the effectiveness of the pro-posed method.Results show that the proposed HDPL cache method and the designed preheated query can greatly re-duce the query time for the index cluster under different query conditions,effectively improving the query efficiency of distribution network monitoring data index cluster.
屈志坚;吴广龙;帅诚鹏;梁家敏
华东交通大学轨道交通基础设施性能监测与保障国家重点实验室,南昌 330013||华东交通大学电气与自动化工程学院,南昌 330013
交通运输
大数据配电网监测数据分布式缓存索引集群
big datadistribution network monitoring datadistributed cacheindex cluster
《电力系统及其自动化学报》 2024 (001)
53-60 / 8
江西省自然科学基金重点项目(20232ACB204025);江西省高层次高技能领军人才培养工程资助项目(202223323);轨道交通基础设施性能监测与保障国家重点实验室开放课题资助项目(HJGZ2022203)
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