首页    期刊浏览 2024年09月18日 星期三
登录注册

文章基本信息

  • 标题:DIMINISH LATENCY ISSUES AND CONGESTION USING ZIPF ESTIMATOR
  • 本地全文:下载
  • 作者:Ankita Khanna ; Komal Arora
  • 期刊名称:International Journal of Computer Science and Management Studies
  • 电子版ISSN:2231-5268
  • 出版年度:2013
  • 卷号:13
  • 期号:03
  • 出版社:Imperial Foundation
  • 摘要:The continued growth of Wide Web has resulted in congestion over the network, servers overload and latency issues. Some techniques have been emerged like Caching which is used in the Web environment to reduce time latency, as it allows fast retrieval of frequently access documents but due to some factors like increasing number of users, irregular updation, scarce system resources of cache servers reduced the ideal effectiveness of Web caching. Other Technique is Prefetching where web pages that the user is likely to access in the future are transferred to her cache without being requested. This paper implements the data mining techniques to determine the next page access. For making the correct prefetching decision we have combined the data mining techniques with zipf estimator and then applied it to determine the probability of page being pre-fetched.
  • 关键词:Caching; Prefetching; Web Mining Techiniques & Zipf Estimator
国家哲学社会科学文献中心版权所有