| 电力计量采集系统中分布式缓存系统研究 |
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| 引用本文： | 陈森利,吴福疆,林洪浩,李楠.电力计量采集系统中分布式缓存系统研究[J].黑龙江电子技术,2014(7):70-73,77. |
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| 作者姓名： | 陈森利 吴福疆 林洪浩 李楠 |
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| 作者单位： | [1]广东汕头供电局,广东汕头515041 [2]长沙威胜电子有限公司,长沙410205 |
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| 基金项目： | 广东汕头供电局科技计划项目（K-GD2012-144） |
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| 摘 要： | 提出Redis数据库的分布式扩展机制并引入新的Key过期处理策略，构建了能够满足大规模数据应用场景下的缓存系统。经布署在广东等地系统的运行结果表明，该动态分布式缓存系统解决了原有计量采集系统中计量记录入库性能差的问题，能够满足海量数据的处理需求，具有高效、可靠、扩展方便的特点，对于构造提高关系数据库事务型操作能力的缓存系统具有指导意义。
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| 关 键 词： | 大数据 缓存系统 规模可扩展 Redis |
Research on distributed caching system for electric metering collection system |
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| Authors: | CHEN Sen-li WU Fu-jiang LIN Hong-hao LI Nan |
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| Affiliation: | 1. Shantou Power Supply Bureau, Guangdong Power Grid Corporation, Shantou 515041, Guangdong Province, China; 2. Wasion Group Ltd., Changsha 410205, China) |
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| Abstract: | Based on Redis database, this thesis introduces a distributed extension mechanism and newKey overdue processing strategies. Meanwhile, a cache system which can be applied to big data isconstructed. The operation of the systems deployed in different places like Guangdong show that thisdynamic distributed cache system has successfully handled the performance bottlenecks existing in the oldmetering collection system and met the demands of big data processing. Thus, featuring high efficiency,good reliability and convenient extension, this system has exerted conductive significance on constructinga cache system which can improve the transactional operational capability of relational database. |
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| Keywords: | big data caching system extension scale Redis |
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