Multiwavelet based-approach to detect shared congestion in computer networks
Joint Authors
Ismail, Tariq Ziyad
Karim, Ahmad A. Mahdi A.
Source
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