Early Burst Drop Prediction Technique in Optical Burst Switching N/W

Lieferzeit: Lieferbar innerhalb 14 Tagen

54,90 

Evolution to OBS Network System

ISBN: 3659621811
ISBN 13: 9783659621819
Autor: Kawale, Sharadchandra/Bhise, Avdhut/Jadhav, Ashish
Verlag: LAP LAMBERT Academic Publishing
Umfang: 92 S.
Erscheinungsdatum: 21.11.2014
Auflage: 1/2014
Format: 0.6 x 22 x 15
Gewicht: 155 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 7514845 Kategorie:

Beschreibung

Wavelength division multiplexing (WDM) optical network has emerged as the transmission technology for the next generation Internet backbone. In WDM networks, the huge bandwidth offered by fiber is managed by splitting it into a number of wavelengths, each acting as an independent communication channel at Gbps data rate. One of the key issue in OBS networks is efficient scheduling. Basically there are two types of scheduling algorithms, horizon scheduling algorithm and void filling scheduling algorithm used for scheduling in OBS network. If we calculate burst drop probability before scheduling then it will help to decrease burst drop ratio. The previous burst drop probability technique is based on the burst size and offset time that implemented on edge node. We are extending this technique which will help to improve efficiency of scheduling algorithms. So this book propose early burst drop prediction technique at core node also that processes control packets of bursts which will allow control packets for scheduling. Simulation result shows that the burst drop ratio is improved by proposed technique.

Autorenporträt

Mr. Sharadchandra KawaleM.E. CSEH.O.D. Department of Computer Science & EngineeringSVERI's COE (Poly.), Pandharpur

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