构建一个可扩展的协作Web过滤器与免费和开源软件

2008 IEEE International Conference on Signal Image Technology and Internet Based Systems Pub Date : 2008-11-30 DOI:10.1109/SITIS.2008.27

Michael G. Noll, C. Meinel

{"title":"构建一个可扩展的协作Web过滤器与免费和开源软件","authors":"Michael G. Noll, C. Meinel","doi":"10.1109/SITIS.2008.27","DOIUrl":null,"url":null,"abstract":"In this case study, we describe the design and architecture of a scalable collaborative web filtering service, TaggyBear, which is powered by free and open source software. We will introduce the reader to the ideas and concepts behind TaggyBear, and discuss why we picked the software components that form the basis of the service. We will talk about how we combined or extended their functionality to build the TaggyBear service, and provide some initial benchmarking results and performance figures.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Building a Scalable Collaborative Web Filter with Free and Open Source Software\",\"authors\":\"Michael G. Noll, C. Meinel\",\"doi\":\"10.1109/SITIS.2008.27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this case study, we describe the design and architecture of a scalable collaborative web filtering service, TaggyBear, which is powered by free and open source software. We will introduce the reader to the ideas and concepts behind TaggyBear, and discuss why we picked the software components that form the basis of the service. We will talk about how we combined or extended their functionality to build the TaggyBear service, and provide some initial benchmarking results and performance figures.\",\"PeriodicalId\":202698,\"journal\":{\"name\":\"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SITIS.2008.27\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2008.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 9

摘要

在这个案例研究中，我们描述了一个可扩展的协同网络过滤服务TaggyBear的设计和架构，该服务由免费和开源软件提供支持。我们将向读者介绍TaggyBear背后的思想和概念，并讨论为什么我们选择构成服务基础的软件组件。我们将讨论如何组合或扩展它们的功能来构建TaggyBear服务，并提供一些初步的基准测试结果和性能数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Building a Scalable Collaborative Web Filter with Free and Open Source Software

In this case study, we describe the design and architecture of a scalable collaborative web filtering service, TaggyBear, which is powered by free and open source software. We will introduce the reader to the ideas and concepts behind TaggyBear, and discuss why we picked the software components that form the basis of the service. We will talk about how we combined or extended their functionality to build the TaggyBear service, and provide some initial benchmarking results and performance figures.

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

2008 IEEE International Conference on Signal Image Technology and Internet Based Systems

自引率

0.00%

发文量