VDSL服务退化检测的性能监测方法与系统

C. Yang, Chi-Ming Chen, David Lu, Xidong Wu, R. Savoor
{"title":"VDSL服务退化检测的性能监测方法与系统","authors":"C. Yang, Chi-Ming Chen, David Lu, Xidong Wu, R. Savoor","doi":"10.1109/CYBERC.2010.92","DOIUrl":null,"url":null,"abstract":"This paper presents an automated means to predicatively detect service degradation signatures or symptoms of VDSL (Very High Bit-rate Digital Line Subscriber) based on performance monitoring measurements. It describes a management structure and methodology for trouble sectionalization and isolation to verify and confirm problem locations. This paper also provides new computing techniques to determine loop and tap lengths based on loop attenuation at different tones. These computing techniques effectively lower the computing time so that the computing program can be deployed to support real time applications and process large numbers of lines in backend during automated processes. To improve the fault detection, we also include the methodology of SELT (Single Ended Loop Testing) as part of the performance monitoring process. With our methodology and management structure, the detection rate is 95% and false positive is ~0.01%. As a result, the implementation of automated performance monitoring capabilities to support Service Assurance (SA) operations has been generally satisfactory.","PeriodicalId":315132,"journal":{"name":"2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Method and System of Performance Monitoring to Detect VDSL Service Degradation\",\"authors\":\"C. Yang, Chi-Ming Chen, David Lu, Xidong Wu, R. Savoor\",\"doi\":\"10.1109/CYBERC.2010.92\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an automated means to predicatively detect service degradation signatures or symptoms of VDSL (Very High Bit-rate Digital Line Subscriber) based on performance monitoring measurements. It describes a management structure and methodology for trouble sectionalization and isolation to verify and confirm problem locations. This paper also provides new computing techniques to determine loop and tap lengths based on loop attenuation at different tones. These computing techniques effectively lower the computing time so that the computing program can be deployed to support real time applications and process large numbers of lines in backend during automated processes. To improve the fault detection, we also include the methodology of SELT (Single Ended Loop Testing) as part of the performance monitoring process. With our methodology and management structure, the detection rate is 95% and false positive is ~0.01%. As a result, the implementation of automated performance monitoring capabilities to support Service Assurance (SA) operations has been generally satisfactory.\",\"PeriodicalId\":315132,\"journal\":{\"name\":\"2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery\",\"volume\":\"113 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CYBERC.2010.92\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBERC.2010.92","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文提出了一种基于性能监测测量来预测检测VDSL(甚高比特率数字线路用户)服务退化特征或症状的自动化方法。它描述了一种管理结构和方法,用于故障划分和隔离,以验证和确认问题位置。本文还提供了新的计算技术来确定环路和分接长度基于环路衰减在不同的音调。这些计算技术有效地降低了计算时间,从而可以部署计算程序来支持实时应用程序,并在自动化过程中在后端处理大量行。为了改进故障检测,我们还将SELT(单端环路测试)方法作为性能监控过程的一部分。根据我们的方法和管理结构,检出率为95%,假阳性率为~0.01%。因此,支持服务保证(Service Assurance, SA)操作的自动性能监视功能的实现总体上令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method and System of Performance Monitoring to Detect VDSL Service Degradation
This paper presents an automated means to predicatively detect service degradation signatures or symptoms of VDSL (Very High Bit-rate Digital Line Subscriber) based on performance monitoring measurements. It describes a management structure and methodology for trouble sectionalization and isolation to verify and confirm problem locations. This paper also provides new computing techniques to determine loop and tap lengths based on loop attenuation at different tones. These computing techniques effectively lower the computing time so that the computing program can be deployed to support real time applications and process large numbers of lines in backend during automated processes. To improve the fault detection, we also include the methodology of SELT (Single Ended Loop Testing) as part of the performance monitoring process. With our methodology and management structure, the detection rate is 95% and false positive is ~0.01%. As a result, the implementation of automated performance monitoring capabilities to support Service Assurance (SA) operations has been generally satisfactory.
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
×
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:604180095
Book学术官方微信