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面向SNS用户访问行为的Web缓存预测替换
  • ISSN号：1007-5321
  • 期刊名称：《北京邮电大学学报》
  • 时间：0
  • 分类：TP315[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]北京邮电大学网络与交换技术国家重点实验室,北京100876
  • 相关基金：工信部核高基重大专项项目（2009ZX01039-001-002）; 国家高技术研究发展计划项目（2008AA01A317）; 国家重点基础研究发展计划项目（2009CB320406）; 创新团队项目（60821001）
作者： 林荣恒[1], 章晖[1], 邹华[1]
关键词： 社交网站, WEB缓存, 中心性, 替换算法, 用户访问行为分析, social network site, web cache, centrality, replacement strategy, user request analysis
中文摘要：

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.

英文摘要：

A prediction algorithm based on user requests for prediction on user requests for social networking services（PUR-SNS） is proposed to improve the efficiency of web cache.The proposed algorithm is based on behavior pattern of user requests in SNS application and a forecasting mechanism is introduced.Simulations shows that PUR-SNS will improve the hit rate.

同期刊论文项目
通信网的网络理论和技术
期刊论文 332 会议论文 183 获奖 32 著作 5
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期刊信息
  • 《北京邮电大学学报》
  • 北大核心期刊（2011版）
  • 主管单位:教育部
  • 主办单位:北京邮电大学
  • 主编：刘杰
  • 地址：北京海淀区西土城路10号195信箱
  • 邮编：100876
  • 邮箱：byxb@bupt.edu.cn
  • 电话：010-62281995 62282742
  • 国际标准刊号：ISSN：1007-5321
  • 国内统一刊号：ISSN：11-3570/TN
  • 邮发代号:2-648
  • 获奖情况:
  • 美国工程信息公司（Ei）数据库收录期刊,1999年全国优秀高等学校自然科学学报及教育部优秀...,中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 美国化学文摘（网络版）,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:7684