Please use this identifier to cite or link to this item:
|Title:||Achieving proportional loss differentiation using probabilistic preemptive burst segmentation in optical burst switching WDM networks||Authors:||Tan, C.-W.
Optical Burst Switching
Proportional Differentiated Service
|Issue Date:||2004||Citation:||Tan, C.-W.,Gurusamy, M.,Lui, J.C.-S. (2004). Achieving proportional loss differentiation using probabilistic preemptive burst segmentation in optical burst switching WDM networks. GLOBECOM - IEEE Global Telecommunications Conference 3 : 1754-1758. ScholarBank@NUS Repository.||Abstract:||We propose a Probabilistic Preemptive Burst Segmentation (PPBS) scheme to provide traffic classes with different Quality-of-service (QoS) requirements in Optical Burst Switching (OBS) networks. PPBS enables high priority bursts to preempt and segment low priority bursts in a probabilistic fashion. By tuning a preemptive parameter that can be instrumented locally on an OBS node, our scheme provides a flexible method to achieve service differentiation on an OBS switch for multiple prioritized traffic classes. We develop an analytical queueing model that captures the notion of increased bandwidth and parallel service using multiple wavelengths. It achieves 100% isolation between high and low priority classes and low loss probabilities in the single and multiple wavelength case. Specifically, our queueing model can achieve Proportional Differentiated Service (PDS) in terms of loss. Finally, we also compare the performance of PPBS with previous heuristic methods in achieving proportional loss differentiation using Long Range Dependent traffic models. © 2004 IEEE.||Source Title:||GLOBECOM - IEEE Global Telecommunications Conference||URI:||http://scholarbank.nus.edu.sg/handle/10635/69151|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 15, 2021
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.