NDLI: Traffic Engineering Next Generation IP Networks Using Gene Expression Programming

Content Provider	IEEE Xplore Digital Library
Author	Bagula, A.B.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci., Stellenbosch Univ. (Bagula, A.B.)
Abstract	This paper addresses the problem of traffic engineering (TE) to evaluate the performance of evolutionary algorithms when used as IP routing optimizers and assess the relevance of using "gene expression programming (GEP)" as a new fine-tuning algorithm in destination- and flow-based TE. We consider a TE scheme where link weights are computed using GEP and used as either fine-tuning parameters in open shortest path first (OSPF ) routing or static routing cost in constraint based routing (CBR ). The resulting OSPF and CBR algorithms are referred to as $OSPF_{gep}$ and $CBR_{gep}.$ The GEP algorithm is based on a hybrid optimisation model where local search complements the global search implemented by classical evolutionary algorithms to improve the genetic individuals fitness through hill-climbing. We apply the newly proposed TE scheme to compute the routing paths for the traffic offered to a 23-, 28- and 30-node test networks under different traffic conditions and differentiated services situations. We evaluate the performance achieved by the $OSPF_{gep},$ $CBR_{gep}$ algorithms and $OSPF_{ma},$ a destination-based routing algorithm where OSPF path selection is driven by the link weights computed by a memetic algorithm (MA ). We compare the performance achieved by the OSPF $_{gep}$ algorithm to the performance of the $OSPF_{ma}$ and OSPF algorithms in a simulated routing environment using NS. We also compare the quality of the paths found by the $CBR_{gep}$ algorithm to the quality of the paths computed by the constraint shortest path first (CSPF ) algorithm when routing bandwidth-guaranteed tunnels using connection-level simulation. Preliminary results reveal the relative efficiency of (1) the $OSPF_{gep}$ algorithm compared to both the $OSPF_{ma}$ and OSPF algorithms and (2) the $CBR_{gep}$ algorithm compared to CSPF routing
Starting Page	230
Ending Page	239
File Size	926806
Page Count	10
File Format	PDF
ISBN	1424401429
ISSN	15421201
DOI	10.1109/NOMS.2006.1687554
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-03
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Telecommunication traffic Next generation networking IP networks Gene expression Routing Tellurium Evolutionary computation Traffic control Computational modeling Constraint optimization
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

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