NDLI: Intelligent Bandwidth Management Using Fast Learning Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Ullah, F. Khan, G.M. Mahmud, S.A.
Copyright Year	2012
Abstract	A fast learning neural network based scheduling system is presented to predict the frames on a single and multi-user MPEG-4 traffic and to distribute the bandwidth accordingly. MPEG-4 video stream traffic from various sources is used to evaluate the capability of this algorithm. A Fast learning Neural network algorithm also termed as Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN) is used as a forecaster to predict the size of the next frame based on the historical data consisting of previous 10 frames in the buffer for each individual user. A range of scenarios are exploited and analyzed for the frame size prediction error, bandwidth utilization efficiency and the frame drop rate for the whole system as well as every user involved obtaining outstanding results. For the best case, the system -- with 50 users using the streaming service -- has 35% of bandwidth efficiency with very low frame drop frequency.
Starting Page	867
Ending Page	872
File Size	429738
Page Count	6
File Format	PDF
ISBN	9781467321648
DOI	10.1109/HPCC.2012.123
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-25
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MPEG-4 bandwidth management Transform coding Estimation Bandwidth Artificial neural networks Streaming media scheduling Prediction algorithms Multimedia communication evolutionary algorithm traffic estimation
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