【24h】

An Adaptive Prefetching Method for Web Caches

机译:Web缓存的自适应预取方法

获取原文
获取原文并翻译 | 示例

摘要

This paper presents a new approach to predict web documents by tracking search patterns of users and by managing documents depending upon the number of hits. Several hot spot documents and their linked documents are stored in cache servers and transmitted them to clients for fast response. The adaptive prefetching method, using search patterns of users, analyzes documents along with the navigation patterns and marks several popular documents. If one of these marked documents is hit, all marked documents are loaded into the cache but only the requested document is transmitted to clients. Cache servers can save their cache memory space as well as provide fast response to clients. The results show that the average response time of the proposed method decreases to 20% compared with other methods and the cache hit rate is increased to 18% of other methods.
机译:本文提出了一种通过跟踪用户的搜索模式和根据匹配数来管理文档来预测Web文档的新方法。几个热点文档及其链接的文档存储在高速缓存服务器中,并将其传输给客户端以进行快速响应。自适应预取方法使用用户的搜索模式,连同导航模式一起分析文档并标记几个受欢迎的文档。如果这些标记的文档之一被命中,则所有标记的文档都将加载到缓存中,但是只有请求的文档才传输到客户端。高速缓存服务器可以节省其高速缓存内存空间,并可以快速响应客户端。结果表明,与其他方法相比,该方法的平均响应时间降低了20%,缓存命中率提高了18%。

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