可扩展传播:什么是热门的,什么是不热门的

J. Beaver, Nicholas Morsillo, K. Pruhs, Panos K. Chrysanthis, V. Liberatore
{"title":"可扩展传播:什么是热门的,什么是不热门的","authors":"J. Beaver, Nicholas Morsillo, K. Pruhs, Panos K. Chrysanthis, V. Liberatore","doi":"10.1145/1017074.1017084","DOIUrl":null,"url":null,"abstract":"A major problem in web database applications and on the Internet in general is the scalable delivery of data. One proposed solution for this problem is a hybrid system that uses multicast push to scalably deliver the most popular data, and reserves traditional unicast pull for delivery of less popular data. However, such a hybrid scheme introduces a variety of data management problems at the server. In this paper we examine three of these problems: the push popularity problem, the document classification problem, and the bandwidth division problem. The push popularity problem is to estimate the popularity of the documents in the web site. The document classification problem is to determine which documents should be pushed and which documents must be pulled. The band-width division problem is to determine how much of the server bandwidth to devote to pushed documents and how much of the server bandwidth should be reserved for pulled documents. We propose simple and elegant solutions for these problems. We report on experiments with our system that validate our algorithms.","PeriodicalId":93360,"journal":{"name":"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Scalable dissemination: what's hot and what's not\",\"authors\":\"J. Beaver, Nicholas Morsillo, K. Pruhs, Panos K. Chrysanthis, V. Liberatore\",\"doi\":\"10.1145/1017074.1017084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A major problem in web database applications and on the Internet in general is the scalable delivery of data. One proposed solution for this problem is a hybrid system that uses multicast push to scalably deliver the most popular data, and reserves traditional unicast pull for delivery of less popular data. However, such a hybrid scheme introduces a variety of data management problems at the server. In this paper we examine three of these problems: the push popularity problem, the document classification problem, and the bandwidth division problem. The push popularity problem is to estimate the popularity of the documents in the web site. The document classification problem is to determine which documents should be pushed and which documents must be pulled. The band-width division problem is to determine how much of the server bandwidth to devote to pushed documents and how much of the server bandwidth should be reserved for pulled documents. We propose simple and elegant solutions for these problems. We report on experiments with our system that validate our algorithms.\",\"PeriodicalId\":93360,\"journal\":{\"name\":\"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1017074.1017084\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1017074.1017084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

一般来说,web数据库应用程序和Internet上的一个主要问题是数据的可伸缩交付。针对这个问题提出的一个解决方案是一个混合系统,它使用多播推送来可扩展地交付最流行的数据,而保留传统的单播拉来交付不太流行的数据。然而,这种混合方案在服务器端引入了各种数据管理问题。本文研究了其中的三个问题:推送流行度问题、文档分类问题和带宽划分问题。推热度问题是估计文档在网站中的热度。文档分类问题是确定哪些文档应该推送,哪些文档必须拉出。带宽划分问题是确定要将多少服务器带宽用于推送文档,以及应该为提取文档保留多少服务器带宽。我们为这些问题提出了简单而优雅的解决方案。我们报告了用我们的系统验证我们的算法的实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Scalable dissemination: what's hot and what's not
A major problem in web database applications and on the Internet in general is the scalable delivery of data. One proposed solution for this problem is a hybrid system that uses multicast push to scalably deliver the most popular data, and reserves traditional unicast pull for delivery of less popular data. However, such a hybrid scheme introduces a variety of data management problems at the server. In this paper we examine three of these problems: the push popularity problem, the document classification problem, and the bandwidth division problem. The push popularity problem is to estimate the popularity of the documents in the web site. The document classification problem is to determine which documents should be pushed and which documents must be pulled. The band-width division problem is to determine how much of the server bandwidth to devote to pushed documents and how much of the server bandwidth should be reserved for pulled documents. We propose simple and elegant solutions for these problems. We report on experiments with our system that validate our algorithms.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Exploring Pros and Cons of Ranked Entities with COMPETE Strategies for Detection of Correlated Data Streams Exploring Genomic Datasets: from Batch to Interactive and Back Discovery and Creation of Rich Entities for Knowledge Bases Recommendations for Explorations based on Graphs
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1