A Framework for the Analysis of BGP Data over Long Timescales

Geng Zhang, Dahua Zhang, Lei Lu, Min Zhu
{"title":"A Framework for the Analysis of BGP Data over Long Timescales","authors":"Geng Zhang, Dahua Zhang, Lei Lu, Min Zhu","doi":"10.1145/2935663.2935680","DOIUrl":null,"url":null,"abstract":"BGP data are very important for understanding the dynamics of the inter domain routing. With the development of Internet, the routing data that BGP routers deals with are increasing dramatically. Nowadays, the most important factor to restrict the research process for general scientific researchers is how to deal with the large volume metadata of TB sizes. Not to mention that metadata sizes can be times larger after decompression. In this paper, we address this problem by presenting a framework, which can deal with large volume of data and extract potential information. What's more, it as well reveals some characteristics of the inter domain routing over long timescale.","PeriodicalId":409750,"journal":{"name":"International Conference of Future Internet","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference of Future Internet","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2935663.2935680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

BGP data are very important for understanding the dynamics of the inter domain routing. With the development of Internet, the routing data that BGP routers deals with are increasing dramatically. Nowadays, the most important factor to restrict the research process for general scientific researchers is how to deal with the large volume metadata of TB sizes. Not to mention that metadata sizes can be times larger after decompression. In this paper, we address this problem by presenting a framework, which can deal with large volume of data and extract potential information. What's more, it as well reveals some characteristics of the inter domain routing over long timescale.
一种长时间尺度BGP数据分析框架
BGP数据对于理解域间路由的动态非常重要。随着Internet的发展,BGP路由器处理的路由数据急剧增加。当前,制约普通科研人员科研进程的最重要因素是如何处理TB量级的海量元数据。更不用说解压缩后的元数据大小可能会大几倍。在本文中,我们通过提出一个框架来解决这个问题,该框架可以处理大量数据并提取潜在信息。此外,还揭示了跨域路由在长时间尺度上的一些特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信