NEVERMIND, the problem is already fixed: Proactively detecting and troubleshooting customer DSL problems

Proceedings of the 6th International Conference on Emerging Networking Experiments and Technologies, Co-NEXT'10

Volumn , Issue , 2010, Pages

  Jin, Yu ^a   Duffield, Nick ^b   Gerber, Alexandre ^b   Haffner, Patrick ^b   Sen, Subhabrata ^b   Zhang, Zhi Li ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b AT AND T LABS RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CUSTOMER CARE; CUSTOMER DISSATISFACTION; CUSTOMER EDGE; DSL NETWORKS; INFERENCE MODELS; LARGE NETWORKS; MEASUREMENT DATA; NOVEL TECHNIQUES; OPERATIONAL CONSTRAINTS; PRO-ACTIVE APPROACH; SUPERVISED MACHINE LEARNING; TROUBLESHOOTING;

DSL; LOCATION; MACHINE COMPONENTS; SALES;

CUSTOMER SATISFACTION;

EID: 79951655074     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1921168.1921178     Document Type: Conference Paper

References (21)

1. Gteko, inc. http://www.gteko.com.
2. Open view, hp technologies inc. http://www.openview.hp.com.
3. B. Aggarwal, R. Bhagwan, T. Das, S. Eswaran, V. N. Padmanabhan, and G. M. Voelker. Netprints: diagnosing home network misconfigurations using shared knowledge. In NSDI'09, 2009.
4. P. Bahl, R. Chandra, A. Greenberg, S. Kandula, D. A. Maltz, and M. Zhang. Towards highly reliable enterprise network services via inference of multi-level dependencies. In SIGCOMM'07, 2007.
5. M. Y. Chen, E. Kiciman, E. Fratkin, A. Fox, O. Fox, and E. Brewer. Pinpoint: Problem determination in large, dynamic internet services. In ICDSN'02, 2002.
6. I. Cohen, M. Goldszmidt, T. Kelly, J. Symons, and J. S. Chase. Correlating instrumentation data to system states: a building block for automated diagnosis and control. In OSDI'04, 2004.
7. Y. Jin, N. Duffield, J. Erman, P. Haffner, S. Sen, and Z.-L. Zhang. A modular machine learning system for flow-level traffic classification in large networks. Technical report, AT&T research, 2009.
8. Y. Jin, N. Duffield, A. Gerber, P. Haffner, S. Sen, and Z.-L. Zhang. Proactively detecting and troubleshooting customer dsl problems. Technical report, AT&T research, 2009.
9. S. Kandula, D. Katabi, and J.-P Vasseur. Shrink: a tool for failure diagnosis in ip networks. In MineNet'05, 2005.
10. S. Kandula, R. Mahajan, P. Verkaik, S. Agarwal, J. Padhye, and P. Bahl. Detailed diagnosis in enterprise networks. In SIGCOMM'09, 2009.
11. G. Khanna, M. Cheng, P. Varadharajan, S. Bagchi, M. Correia, and P. Veríssimo. Automated rule-based diagnosis through a distributed monitor system. IEEE Trans. Dependable Secur. Comput., 2007.
12. R. R. Kompella, J. Yates, A. Greenberg and A. C. Snoeren. Ip fault localization via risk modeling. In NSDI'05, 2005.
13. A. Mahimkar, Z. Ge, A. Shaikh, J. Wang, J. Yates, Y. Zhang, and Q. Zhao. Towards automated performance diagnosis in a large iptv network. In SIGCOMM'09, pages 231-242, 2009.
14. Y. Mao. Automated computer system diagnosis by machine learning approaches. Technical report, UPenn CIS Dept., 2005.
15. Y. Mao, H. Jamjoom, S. Tao, and J. Smith. Networkmd: topology inference and failure diagnosis in the last mile. In IMC '07, 2007.
16. R. E. Schapire and Y. Singer. Boostexter: A boosting-based system for text categorization. Mach. Learn., 2000.
17. Y.-Y. Su, M. Attariyan, and J. Flinn. Autobash: improving configuration management with operating system causality analysis. In SOSP'07, 2007.
18. H. J. Wang, J. C. Platt, Y. Chen, R. Zhang, and Y.-M. Wang. Automatic misconfiguration troubleshooting with peerpressure. In OSDI'04, 2004.
19. Y.-M. Wang, C. Verbowski, J. Dunagan, Y. Chen, H. J. Wang, C. Yuan, and Z. Zhang. Strider: A black-box, state-based approach to change and configuration management and support. In LISA'03, 2003.
20. C. Yuan, N. Lao, J.-R. Wen, J. Li, Z. Zhang, Y.-M. Wang, and W.-Y. Ma. Automated known problem diagnosis with event traces. In EuroSys'06, 2006.
21. A. X. Zheng, J. Lloyd, and E. Brewer. Failure diagnosis using decision trees. In ICAC'04, 2004.