NDLI: Proactive network maintenance using machine learning

Content Provider	IEEE Xplore Digital Library
Author	Sasisekharan, R. Seshadri, V. Weiss, S.M.
Copyright Year	1993
Description	Author affiliation: AT&T Bell Labs., Middletown, NJ, USA (Sasisekharan, R.; Seshadri, V.; Weiss, S.M.)
Abstract	We describe a new approach to preactively maintain a massively interconnected communications networks over time. We have applied this approach to the detection and prediction of chronic transmission faults in AT&T's digital communications network. A windowing technique was applied to large volumes of diagnostic data and these data were analyzed by machine learning methods. A set of conditions has been found that is highly predictive of chronic circuit problems, that is, problems that are likely to continue in the immediate future without diagnosis and repair. In addition, a few conditions have been found that are predictive of problems that affect multiple circuits. Such analyses over the complete network can be helpful in proactively maintaining the network and in spotting trends for circuit problems. Proactive maintenance of the network can help in greatly improving the quality and reliability of a network by identifying potentially serious problems before they degrade.
Starting Page	217
Ending Page	222
File Size	616266
Page Count	6
File Format	PDF
ISBN	0780309170
DOI	10.1109/GLOCOM.1993.318126
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-11-29
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Machine learning Maintenance Integrated circuit interconnections Communication networks Electrical fault detection Fault detection Circuit faults Digital communication Data analysis Learning systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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