| 注册
首页|期刊导航|计算机应用与软件|分布式环境下的频繁数据缓存策略

分布式环境下的频繁数据缓存策略

易俗 殷慧文 张一川 张莉

计算机应用与软件2017,Vol.34Issue(8):12-17,86,7.
计算机应用与软件2017,Vol.34Issue(8):12-17,86,7.DOI:10.3969/j.issn.1000-386x.2017.08.003

分布式环境下的频繁数据缓存策略

FREQUENT DATA CACHING STRATEGIES IN DISTRIBUTED ENVIRONMENT

易俗 1殷慧文 1张一川 2张莉2

作者信息

  • 1. 辽宁大学创新创业学院 辽宁 沈阳 110036
  • 2. 东北大学软件学院 辽宁 沈阳 110819
  • 折叠

摘要

Abstract

Using distributed caching technology can provide high performance and high availability data query in large data environment.The frequent data caching strategies for lightweight applications have the advantages of high efficiency and easy extension.Especially, it is beneficial to improve the query optimization for lightweight distributed database system.Therefore, this research studies the data caching strategies for the recent frequent query data by analyzing the characteristics of user behavior and user query.It can predict the high hit rate of the cache data and improve the efficiency of data query.Firstly, the definition of the frequency of the query was analyzed and given.Secondly, we refined the operation of the user''s query according to the influence of the time factor for the cache data.And we dealt with the different cache hits in query process through the data query frequency.Then, we integrated the cached data between nodes.Finally, the experimental results showed that the data caching strategy has a high data hit rate.It also can improve the efficiency of data query.According to the actual needs, the implementation can use different combination of cache attributes, and possesses a good scalability.

关键词

数据缓存策略/查询频繁度/集群环境/分布式系统/大数据

Key words

Data caching strategy/Query frequency/Cluster environment/Distributed system/Big data

分类

信息技术与安全科学

引用本文复制引用

易俗,殷慧文,张一川,张莉..分布式环境下的频繁数据缓存策略[J].计算机应用与软件,2017,34(8):12-17,86,7.

基金项目

国家自然科学基金项目(61202088) (61202088)

中央高校基本科研业务费专项资金项目(51704003) (51704003)

辽宁省档案局科技项目(L-2017-X-24) (L-2017-X-24)

辽宁省高校健康管理协同创新中心资助项目. ()

计算机应用与软件

OA北大核心CSTPCD

1000-386X

访问量0
|
下载量0
段落导航相关论文