Multiwavelet based-approach to detect shared congestion in computer networks

Joint Authors

Ismail, Tariq Ziyad
Karim, Ahmad A. Mahdi A.

Source

Journal of Engineering

Issue

Vol. 18, Issue 11 (30 Nov. 2012), pp.1219-1228, 10 p.

Publisher

University of Baghdad College of Engineering

Publication Date

2012-11-30

Country of Publication

Iraq

No. of Pages

10

Main Subjects

Information Technology and Computer Science

Topics

Abstract EN

Internet paths sharing the same congested link can be identified using several shared congestion detection techniques.

The new detection technique which is proposed in this paper depends on the previous novel technique (delay correlation with wavelet denoising (DCW) with new denoising method called Discrete Multiwavelet Transform (DMWT) as signal denoising to separate between queuing delay caused by network congestion and delay caused by various other delay variations.

The new detection technique provides faster convergence (3 to 5 seconds less than previous novel technique) while using fewer probe packets approximately half numbers than the previous novel technique, so it will reduce the overload on the network caused by probe packets.

Thus, new detection technique will improve the overall performance of computer network.

American Psychological Association (APA)

Ismail, Tariq Ziyad& Karim, Ahmad A. Mahdi A.. 2012. Multiwavelet based-approach to detect shared congestion in computer networks. Journal of Engineering،Vol. 18, no. 11, pp.1219-1228.
https://search.emarefa.net/detail/BIM-315866

Modern Language Association (MLA)

Ismail, Tariq Ziyad& Karim, Ahmad A. Mahdi A.. Multiwavelet based-approach to detect shared congestion in computer networks. Journal of Engineering Vol. 18, no. 11 (Nov. 2012), pp.1219-1228.
https://search.emarefa.net/detail/BIM-315866

American Medical Association (AMA)

Ismail, Tariq Ziyad& Karim, Ahmad A. Mahdi A.. Multiwavelet based-approach to detect shared congestion in computer networks. Journal of Engineering. 2012. Vol. 18, no. 11, pp.1219-1228.
https://search.emarefa.net/detail/BIM-315866

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 1227-1228

Record ID

BIM-315866