[1]王 贺,王志宝,陈良富,等.基于多尺度复合金字塔模型的缓存策略研究[J].计算机技术与发展,2022,32(02):101-106.[doi:10. 3969 / j. issn. 1673-629X. 2022. 02. 016]
　WANG He,WANG Zhi-bao,CHEN Liang-fu,et al.Research on Caching Strategy Based on Multi-scale Compound Pyramid Model[J].,2022,32(02):101-106.[doi:10. 3969 / j. issn. 1673-629X. 2022. 02. 016]
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基于多尺度复合金字塔模型的缓存策略研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
32
期数:
2022年02期
页码:
101-106
栏目:
系统工程
出版日期:
2022-02-10

文章信息/Info

Title:
Research on Caching Strategy Based on Multi-scale Compound Pyramid Model
文章编号:
1673-629X(2022)02-0101-06
作者:
王 贺1 ; 王志宝1 ; 陈良富2 ; 赵 亮1
1. 东北石油大学 计算机与信息技术学院,黑龙江 大庆 163318;
2. 中国科学院空天信息创新研究院遥感科学国家重点实验室,北京 100000
Author(s):
WANG He1 ; WANG Zhi-bao1 ; CHEN Liang-fu2 ; ZHAO Liang1
1. School of Computer and Information Technology,Northeast Petroleum University,Daqing 163318,China;
2. State Key Laboratory of Remote Sensing Science,Aerospace Information Research Institute of Chinese Academy of Sciences,Beijing 100000,China
关键词:
缓存策略; 多尺度; 复合金字塔模型; 数据组织; 瓦片数据
Keywords:
caching strategy; multi-scale; compound pyramid model; data organization; tile data
分类号:
TP333
DOI:
10. 3969 / j. issn. 1673-629X. 2022. 02. 016
摘要:
为了解决多源异构数据具有的统一组织和集成管理问题,提出了一种基于多尺度复合金字塔模型的数据组织方法。 同时,针对海量瓦片数据传输给服务器和网络带来的压力过大、响应时间过长的问题,通过在客户端建立缓存机制和瓦片缓存索引,提出了一种基于多尺度复合金字塔模型的瓦片数据缓存替换算法 MCPCR。 该算法在传统缓存置换算法的基础上,适用于加载多类型数据,并综合考虑了用户操作习惯以及引入了瓦片保护机制。 以北京市大气污染 PM2. 5 数据、风场数据及影像数据为例,与传统缓存置换算法进行对比。 实验结果证明,多尺度复合金字塔模型能够实现对瓦片数据的统一组织和集成管理,基于多尺度复合金字塔模型的瓦片数据缓存替换算法能够对多种类型数据进行加载,相对于传统缓存置换算法可以提高瓦片命中率及字节命中率,提高用户响应速度。
Abstract:
In order to solve the problem of unified organization and integrated management of multi - source heterogeneous data, wepropose a data organization method based on multi-scale compound pyramid model. At the same time,in view of the excessive pressureand long response time caused by the transmission of massive tile data on the server and the network,by establishing a caching mechanismand tile cache index on the client,we propose a tile data cache replacement algorithm MCPCR based on multi-scale compound pyramidmodel. Based on the traditional cache replacement algorithm,the proposed algorithm is suitable for loading multiple types of data,andcomprehensively takes the user’s operating habits into account and introduces a tile protection mechanism. Taking Beijing’ s PM2. 5data,wind field data and image data as examples,the proposed algorithm is compared with the traditional cache replacement algorithm.The experiment proves that the multi-scale composite pyramid model can realize the unified organization and integrated management oftile data. The MCPCR algorithm can load multiple types of data, increase the tile hit rate and byte hit rate compared with traditionalcache replacement algorithm,and improve user response speed.

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更新日期/Last Update: 2022-02-10