用IP时间戳推断路由器统计信息

Andrew D. Ferguson, Rodrigo Fonseca
{"title":"用IP时间戳推断路由器统计信息","authors":"Andrew D. Ferguson, Rodrigo Fonseca","doi":"10.1145/1921206.1921218","DOIUrl":null,"url":null,"abstract":"This paper describes our initial experiences with using the IP timestamp option to infer router statistics such as traffic shape and CPU load. By deducing this information through the use of an IP option, we can gather these statistics without administrative access to the router under study. This creates the potential for researchers to gather basic statistics from routers in wide-area networks which support this option.","PeriodicalId":325024,"journal":{"name":"CoNEXT '10 Student Workshop","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Inferring router statistics with IP timestamps\",\"authors\":\"Andrew D. Ferguson, Rodrigo Fonseca\",\"doi\":\"10.1145/1921206.1921218\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes our initial experiences with using the IP timestamp option to infer router statistics such as traffic shape and CPU load. By deducing this information through the use of an IP option, we can gather these statistics without administrative access to the router under study. This creates the potential for researchers to gather basic statistics from routers in wide-area networks which support this option.\",\"PeriodicalId\":325024,\"journal\":{\"name\":\"CoNEXT '10 Student Workshop\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CoNEXT '10 Student Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1921206.1921218\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CoNEXT '10 Student Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1921206.1921218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

本文描述了我们使用IP时间戳选项来推断路由器统计信息(如流量形状和CPU负载)的初步经验。通过使用IP选项推断这些信息,我们可以在没有管理访问所研究的路由器的情况下收集这些统计数据。这为研究人员从支持该选项的广域网中的路由器收集基本统计数据创造了潜力。
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
Inferring router statistics with IP timestamps
This paper describes our initial experiences with using the IP timestamp option to infer router statistics such as traffic shape and CPU load. By deducing this information through the use of an IP option, we can gather these statistics without administrative access to the router under study. This creates the potential for researchers to gather basic statistics from routers in wide-area networks which support this option.
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
NetQuery: a knowledge plane for reasoning about network properties Towards characterization of wireless traffic in coexisting 802.11a/g and 802.11n network Power scaling in network devices A framework for nation-centric classification and observation of the internet Prefetching Bloom filters to control flooding in content-centric networks
×
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