DocumentCode :
757123
Title :
Analysis and optimization of transmission schedules for single-hop WDM networks
Author :
Rouskas, George N. ; Ammar, Mostafa H.
Author_Institution :
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
3
Issue :
2
fYear :
1995
fDate :
4/1/1995 12:00:00 AM
Firstpage :
211
Lastpage :
221
Abstract :
Considers single-hop lightwave networks with stations interconnected using wave division multiplexing. The stations are equipped with tunable transmitters and/or receivers. A predefined, wavelength-time oriented schedule specifies the slots and the wavelengths on which communication between any two pairs of stations is allowed to take place. The authors define a wide variety of schedules and develop a general framework for analyzing their throughput performance for any number of available wavelengths, any tunability characteristics, and general (potentially nonuniform) traffic patterns. They then consider the optimization of schedules given the traffic requirements and present optimization heuristics that give near-optimal results. They also investigate how the number of available wavelengths (channels) affects the system throughput, and develop techniques to efficiently share the available channels among the network stations. As a result, they obtain systems that are easy to scale while having very good performance
Keywords :
channel capacity; optical fibre networks; optimisation; scheduling; telecommunication traffic; wavelength division multiplexing; optimization; predefined wavelength-time oriented schedule; single-hop WDM networks; single-hop lightwave networks; system throughput; throughput performance; traffic patterns; transmission schedules; tunability characteristics; wave division multiplexing; Bandwidth; Laser tuning; Optimal scheduling; Pattern analysis; Performance analysis; Throughput; Transceivers; Tunable circuits and devices; WDM networks; Wavelength division multiplexing;
fLanguage :
English
Journal_Title :
Networking, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1063-6692
Type :
jour
DOI :
10.1109/90.374121
Filename :
374121
Link To Document :
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