NDLI: An Engineering Approach to Prediction of Network Traffic Based on Time-Series Model

Content Provider	IEEE Xplore Digital Library
Author	Shen Fu-Ke Zhang Wei Chang Pan
Copyright Year	2009
Abstract	Campus network’s Internet accessing traffic is complicated, non-linear and periodical. Our goal is to give out a engineering approach to prediction of network traffic based Time-series analysis model(EPTS) for campus exit-link. In our EPTS with rate-limiting, we configure rate limit based interface, then use Time-series decomposed model, give out the linear trend component, periodical component, and random component decomposed analysis model. We analyze two years’ traffic data of ECNU campus network exit-link and try to forecast the same link’s traffic tendency of the following half year. We get the satisfied prediction results compared with either the link’s real monitor data or Time-series analysis model without rate-limiting. We believe our approach is a feasible method for forecasting network traffic tendency.
Starting Page	432
Ending Page	435
File Size	311884
Page Count	4
File Format	PDF
ISBN	9780769536156
DOI	10.1109/JCAI.2009.104
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	rate-limiting Time series analysis Telecommunication traffic Predictive models Computer crime Computer science Bandwidth Traffic control Time Series traffic forecast Communication system traffic control Artificial intelligence Monitoring
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

VBR MPEG Video Traffic Dynamic Prediction Based on the Modeling and Forecast of Time Series

Prediction of Network Flow Based on Wavelet Analysis and ARIMA Model

Nonlinear-periodical network traffic behavioral forecast based on seasonal neural network model

Prediction-based network bandwidth control

Nonlinear Prediction of Network Traffic Measurements Data

Traffic Model Based on Time Series to Forecast Traffic Future Values Within a Wi-Fi Data Network

A Method of Network Traffic Analysis Based on Multiple-Combination Model

An Analysis of Traffic Load Prediction Base on Auto Regressive Model in Small Time Granularity

A Novel Network Traffic Model Based on Superstatistics Theory

An Engineering Approach to Prediction of Network Traffic Based on Time-Series Model

Similar Documents

VBR MPEG Video Traffic Dynamic Prediction Based on the Modeling and Forecast of Time Series

Prediction of Network Flow Based on Wavelet Analysis and ARIMA Model

Nonlinear-periodical network traffic behavioral forecast based on seasonal neural network model

Prediction-based network bandwidth control

Nonlinear Prediction of Network Traffic Measurements Data

Traffic Model Based on Time Series to Forecast Traffic Future Values Within a Wi-Fi Data Network

A Method of Network Traffic Analysis Based on Multiple-Combination Model

An Analysis of Traffic Load Prediction Base on Auto Regressive Model in Small Time Granularity

A Novel Network Traffic Model Based on Superstatistics Theory

An Engineering Approach to Prediction of Network Traffic Based on Time-Series Model