ABSENCE: Usage-based Failure Detection in Mobile Networks

Binh Nguyen, Zihui Ge, J. Merwe, He Yan, J. Yates
{"title":"ABSENCE: Usage-based Failure Detection in Mobile Networks","authors":"Binh Nguyen, Zihui Ge, J. Merwe, He Yan, J. Yates","doi":"10.1145/2789168.2790127","DOIUrl":null,"url":null,"abstract":"We present our proposed ABSENCE system which detects service disruptions in mobile networks using aggregated customer usage data. ABSENCE monitors aggregated customer usage to detect when aggregated usage is lower than expected in a given geographic region (e.g., zip code), across a given customer device type, or for a given service. Such a drop in expected usage is interpreted as a sign of a potential service disruption being experienced in that region/device type/service. ABSENCE effectively deals with users' mobility and scales to detect failures in various mobile services (e.g., voice, data, SMS, MMS, etc). We perform a systematic evaluation of our proposed approach by introducing synthetic failures in measurements obtained from a US operator. We also compare our results with ground truth (real service disruptions) obtained from the mobile operator.","PeriodicalId":424497,"journal":{"name":"Proceedings of the 21st Annual International Conference on Mobile Computing and Networking","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21st Annual International Conference on Mobile Computing and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2789168.2790127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24

Abstract

We present our proposed ABSENCE system which detects service disruptions in mobile networks using aggregated customer usage data. ABSENCE monitors aggregated customer usage to detect when aggregated usage is lower than expected in a given geographic region (e.g., zip code), across a given customer device type, or for a given service. Such a drop in expected usage is interpreted as a sign of a potential service disruption being experienced in that region/device type/service. ABSENCE effectively deals with users' mobility and scales to detect failures in various mobile services (e.g., voice, data, SMS, MMS, etc). We perform a systematic evaluation of our proposed approach by introducing synthetic failures in measurements obtained from a US operator. We also compare our results with ground truth (real service disruptions) obtained from the mobile operator.
缺席:移动网络中基于使用的故障检测
我们提出了我们提出的缺席系统,该系统使用汇总的客户使用数据来检测移动网络中的服务中断。缺席监视聚合的客户使用情况,以检测在给定地理区域(例如,邮政编码)、跨给定客户设备类型或给定服务中的聚合使用情况何时低于预期。这种预期使用量的下降被解释为该地区/设备类型/服务正在经历潜在的服务中断的迹象。缺席有效地处理用户的移动性和规模,以检测各种移动服务(如语音,数据,短信,彩信等)的故障。我们通过引入从一家美国运营商获得的测量数据中的综合故障,对我们提出的方法进行了系统评估。我们还将我们的结果与从移动运营商获得的实际情况(实际服务中断)进行了比较。
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