全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

面向SNS用户访问行为的Web缓存预测替换

DOI: 10.13190/jbupt.201201.111.linrh, PP. 111-114

Keywords: 社交网站,web缓存,中心性,替换算法,用户访问行为分析

Full-Text   Cite this paper   Add to My Lib

Abstract:

为了提高web缓存性能,在已有缓存替换算法的基础上加入预测机制,提出了一种面向社交网站(SNS)用户访问行为特征的预测替换算法.通过研究SNS的用户行为模型,引入预测对象集,减小了替换风险,提高了缓存命中率.为了验证所提算法的性能,进行了大量仿真实验,结果表明,该算法在基于SNS使用行为的缓存方面,具有提高命中率的优越性.

References

[1]  [1]Li Xuejun. Web cache technology and application[J]. Telecommunication Technology, 1999(11):15-17.
[2]  [2]Zhang Zhenbo, Yang Hebiao, Ma Zhenhua. Web cache mechanism based on LRU algorithm[J]. Computer Engineering, 2006, 32(19):68-70.
[3]  [3]PalpanasT, Mendelzon A. Web prefetching using partial match prediction[C]∥Proceedings of the 4th Web caching Workshop. San Diego:[s. n.], 1999:30-45.
[4]  [4]PitkowJ, Pirolli P. Mining longest repeating subsequences to predict world wide web surfing[C]∥Proceedings of the 2ndUSENIX Symposium on Internet Technologies and Systems. Boulder: [s. n.], 1999:13-18.
[5]  [5]杨媛媛. SNS网络中节点关系研究[D]. 保定:河北农业大学图书馆, 2010.
[6]  [6]刘军. 社会网络分析导论[M]. 北京:社会科学文献出版社, 2004:13-60.
[7]  [7]ZhouTao, Fu Zhongqian, Niu Yongwei, et al. Transmission dynamics on complex networks research[J]. Progress in Natural Science(Chinese Version), 2005, 15(5):513-518.
[8]  [8]LiuJun. An analysis of the social network model[J]. Sociological Studies, 2004(1):130-132.
[9]  [9]WangHuixia, Shi Lei, Wei Lin, et al. Cache flow characteristics model research and application[J]. Journal of Computer Application, 2007, 27(4): 776-779.
[10]  [10]Bohrnstedt G W, Knoke D. Statistics for social data analysis[M].Itasca:FE Peacock Publishers, 1988:20-60.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133