NDLI: Deploying MIB Data Mining for Proactive Network Management

Content Provider	IEEE Xplore Digital Library
Author	Kulkarni, P.G. McClean, S.I. Paxr, G.P. Black, M.M.
Copyright Year	2006
Description	Author affiliation: Sch. of Comput. & Inf. Eng., Ulster Univ., Coleraine (Kulkarni, P.G.; McClean, S.I.; Paxr, G.P.; Black, M.M.)
Abstract	Due to increasing reliance on computer communication networks, it is highly desirable that networks should have the ability to detect symptoms of oncoming exception conditions and take measures to prevent them thereby enabling a degree of proactive network management that underpins an acceptable quality of service. This paper proposes a framework for achieving congestion avoidance through proactive network management using data mining. It examines the inter-relationships between network element management information base (MIB) attributes, queue parameters (associated with a transmission link) and the level of congestion at a network node and identifies hybrid parameters that have a bearing on congestion. By employing data mining on the data pertaining to these variables, congestion at the network node can be predicted. Results from our initial experimentation with particular data mining models show that the accuracy achieved is as high as 98% in all of the cases thus rendering data mining a viable approach to proactively identity network exception conditions
Starting Page	506
Ending Page	511
File Size	8211780
Page Count	6
File Format	PDF
ISBN	142440195X
DOI	10.1109/IS.2006.348471
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-04
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Computer network management Neural networks Intelligent systems Conference management Quality management Communication networks Performance analysis Analytical models Computational intelligence Classification Proactive Network Management Congestion Management Feature Selection using Statistical t-test Data Mining
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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