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Computer Networks
Volume 48, Issue 6, 19 August 2005, Pages 891-909
 
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doi:10.1016/j.comnet.2004.11.021    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2004 Elsevier B.V. All rights reserved.

On ordered scheduling for optical burst switching

M.H. Phùnga, Corresponding Author Contact Information, E-mail The Corresponding Author, K.C. Chuaa, G. Mohana, M. Motania, T.C. Wongb and P.Y. Kongb

aDepartment of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore bInstitute for Infocomm Research, Singapore

Received 4 September 2003; 
revised 1 November 2004; 
accepted 22 November 2004. 
Responsible Editor: A. Fumagalli. 
Available online 30 December 2004.

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Abstract

Optical burst switching (OBS) is a promising optical networking paradigm for efficient transport of bursty IP traffic over wavelength division multiplexing (WDM) optical Internet networks. In OBS, the header of a burst is sent in advance of the data burst to reserve a wavelength channel at each optical switching node along the path. The nodes use a scheduling algorithm to assign wavelengths to incoming bursts. Our work is motivated from the observation that existing scheduling algorithms assign a wavelength to a burst when its header arrives at the node. Thus, information about other bursts whose headers arrive later is not available when the scheduling decision is made. This leads to suboptimal scheduling decisions and unnecessary burst dropping. The key idea in our proposed algorithm, Ordered Scheduling, is to defer making the scheduling decision until just before the burst arrival in order to have full knowledge about other bursts. The effectiveness of the proposed algorithm is studied through simulation and the computational complexity and signalling overhead are analysed.

Keywords: Wavelength division multiplexing; Optical burst switching; Scheduling

Article Outline

1. Introduction
2. Related work
3. Ordered Scheduling
3.1. Overview
3.2. Admission control test
3.3. Practical implementation and complexity analysis
3.3.1. Admission control test
3.3.2. Priority queue
3.3.3. Overall time complexity
3.4. Timing in Ordered Scheduling
3.5. Signalling overhead
3.6. Ordered Scheduling from the queueing theory perspective
4. Simulation study
4.1. Effects of traffic conditions
4.2. Effects of hardware configuration
4.3. Simulation study for a whole network
5. Conclusion
Acknowledgements
References
Vitae


















Computer Networks
Volume 48, Issue 6, 19 August 2005, Pages 891-909
 
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