• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2017 XLIII Latin American Computer Conference >Web browsing optimization: A prefetching system based on prediction history
【24h】

Web browsing optimization: A prefetching system based on prediction history

机译：Web浏览优化：基于预测历史的预取系统

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Web browsing response times are affected by the heterogeneous nature of Internet: links with disparate bandwidth, servers and routers with diverse specifications and network segments with particular traffic shaping policies. Also, on a daily basis, several new information systems get connected to the Internet consequently increasing traffic. Aiming to reduce response times, prefetching systems predict which objects will be requested by users based on predictive models. This way, predicted objects are requested and stored in cache in advance. However, literature shows that current prefetching systems do not contemplate how effective the predictions are. This paper presents a feedback based prefetching system. The proposed approach considers previous predictions hits and misses to update the predictive model thus enhancing the precision of predictions. The experimental study shows an improvement on users' response time obtained by the proposed system.
机译：Web浏览响应时间受Internet异构特性的影响：具有不同带宽的链接，具有不同规格的服务器和路由器以及具有特定流量整形策略的网段。而且，每天都有几个新的信息系统连接到Internet，从而增加了流量。为了减少响应时间，预取系统根据预测模型预测用户将请求哪些对象。这样，预先请求预测对象并将其存储在缓存中。但是，文献表明，当前的预取系统没有考虑到预测的有效性。本文提出了一种基于反馈的预取系统。所提出的方法考虑了先前的预测命中和遗漏以更新预测模型，从而提高了预测的精度。实验研究表明，该系统对用户的响应时间有所改善。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号