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Network performance modeling and control through prediction feedback

by Manjunath R, Shyam vasudev, Narendranath Udupa
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 22
Year of Publication: 2010
Authors: Manjunath R, Shyam vasudev, Narendranath Udupa
10.5120/433-661

Manjunath R, Shyam vasudev, Narendranath Udupa . Network performance modeling and control through prediction feedback. International Journal of Computer Applications. 1, 22 ( February 2010), 108-111. DOI=10.5120/433-661

@article{ 10.5120/433-661,
author = { Manjunath R, Shyam vasudev, Narendranath Udupa },
title = { Network performance modeling and control through prediction feedback },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 22 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 108-111 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number22/433-661/ },
doi = { 10.5120/433-661 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:43:11.466318+05:30
%A Manjunath R
%A Shyam vasudev
%A Narendranath Udupa
%T Network performance modeling and control through prediction feedback
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 22
%P 108-111
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Performance modeling of a network is challenging especially when it involves multimedia traffic. The present day home network makes uses of internet for multimedia content transfer on to the devices in real time. In such a communication system, reliability and in time data transfer is critical. The system has to support the streaming of multimedia and entertainment data from mobile to infrastructure and vice versa. In this paper, a novel modeling method for the network and its traffic shaping is introduced and simulation model is provided. The performance with this model is analyzed.

References
  1. W.Willinger, M.S.Taqqu, R.Sherman and D.V.Wilson, 1997."Self-similarity through high Variability: Statistical analysis of Ethernet LAN traffic at the source level", IEEE/ACM transaction on networking, Vol 5, pp71-86.
  2. C. Hollot, V. Misra, D. Towsley and W. Gong, 2001. A Control Theoretic Analysis of RED, INFOCOMM.
  3. Wu-chun Feng; Kapadia, A.; Thulasidasan, S. GREEN: proactive queue management over a best-effort network, IEEE GLOBECOM, pp 1774 - 1778
  4. Manjunath.R, Gurumurthy.K.S.,2002. Information geometry of differentially fed artificial neural networks, TENCON'02, Vol 3, PP 1521 - 1525
  5. Manjunath.R, K.S.Gurumurthy,2003. Bayesian decision on differentially fed hyper planes, ITSim2003
  6. Manjunath.R, K.S.Gurumurthy, 2004. Maintaining Long-range dependency of traffic in a network, CODEC'04
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive control Differential feedback Multiresolution Traffic shaping

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