【摘要】 研究目的：铁路供电集群监测数据中心数据量急剧增加，容易使得监测系统产生延迟，对铁路供电安全造成巨大威胁。针对海量电力数据的处理问题，行业内普遍采用数据库技术缓存热点数据，但现有的缓存替换策略命中率不高，难以有效应对复杂多变的数据访问模式。本文在现有缓存替换策略的基础上设计一种新的VCRS缓存替换策略，通过与传统缓存算法对比，验证方法的高效性。研究结论：（1）提出的VCRS缓存替换策略，在以“时间”为淘汰指标的LRU算法和以“频率”为淘汰指标的LFU算法的基础上进行改进，可充分利用缓存资源，改善整个系统的访问性能；（2）VCRS缓存替换方法在不同的数据访问场景下，可以获得比LRU算法和LFU算法更高的缓存命中率，且耗时与现有缓存替换方法相当；（3）本研究成果可应用于铁路供电集群监测领域，为提高监控系统的快速响应提供新思路。更多还原

【Abstract】 Research purposes: The sharp increase in data volume at the railway power supply cluster monitoring data center can easily cause delays in the monitoring system, posing a huge threat to the safety of railway power supply. For the massive power data processing problems, the industry generally uses database technology to cache hot data, the existing cache replacement strategy hit rate is not high, it is difficult to effectively respond to the complex and variable data access load patterns and other issues. Based on the existing cache replacement strategies, this paper designs a new VCRS cache replacement strategy. By comparing it with traditional cache algorithms, the efficiency of this method is verified.Research conclusions:(1) The proposed VCRS cache replacement strategy is improved on the basis of the LRU algorithm, which uses "time" as the elimination index, and the LFU algorithm, which uses "frequency" as the elimination index, and it can make full use of cache resources to improve the access performance of the whole system.(2) VCRS cache replacement method can obtain higher cache hit rates than LRU and LFU under different data access scenarios, and the time consumption is comparable to that of the existing method.(3) The results of this research can be applied in the field of railway power supply cluster monitoring, which provide a new way of thinking to improve the fast response of the monitoring system.更多还原