{"title":"多客户端单服务器环境下预测预取优化","authors":"Naveed Ahmad, Azam Khan, Faiza Bibi","doi":"10.1109/FIT.2011.36","DOIUrl":null,"url":null,"abstract":"Web caching and web prefetching are major areas of research. Both techniques are used for locating resources local to the user. The prefetching techniques make use of probability and statics for the availability of web document local to the user. This research focused on invention of model technique that provides resources local for the users. This method's results are compared for optimizes resources in web prefetching. The mechanism proposed for the prefetching document will extract the resources and make an easy access of resources for users.","PeriodicalId":101923,"journal":{"name":"2011 Frontiers of Information Technology","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing Predictive Prefetching in Multi-client Single-Server Environment\",\"authors\":\"Naveed Ahmad, Azam Khan, Faiza Bibi\",\"doi\":\"10.1109/FIT.2011.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Web caching and web prefetching are major areas of research. Both techniques are used for locating resources local to the user. The prefetching techniques make use of probability and statics for the availability of web document local to the user. This research focused on invention of model technique that provides resources local for the users. This method's results are compared for optimizes resources in web prefetching. The mechanism proposed for the prefetching document will extract the resources and make an easy access of resources for users.\",\"PeriodicalId\":101923,\"journal\":{\"name\":\"2011 Frontiers of Information Technology\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Frontiers of Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FIT.2011.36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Frontiers of Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FIT.2011.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimizing Predictive Prefetching in Multi-client Single-Server Environment
Web caching and web prefetching are major areas of research. Both techniques are used for locating resources local to the user. The prefetching techniques make use of probability and statics for the availability of web document local to the user. This research focused on invention of model technique that provides resources local for the users. This method's results are compared for optimizes resources in web prefetching. The mechanism proposed for the prefetching document will extract the resources and make an easy access of resources for users.
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