چکیده (انگلیسی):

Catering to the evolving bandwidth-on-demand applications requires flexible provisioning architectures that
ensure fairness to both high end and low end users of internet. Dynamic classification of network paths into
long and short, based on traffic dependent connection holding times and a wavelength allocation from
different subsets for these categories is a necessity for implementing energy saving hybrid switching, loss
recovery and flexi grid bit rate variable schemes. Therefore, this study evaluates such a scheme of dynamic
classification based on HMM predicted connection-holding times with tightly integrated adaptive burst
sizing and segregated wavelength allocation for long and short categories. Simulation study of a 28 node
OBS network shows that this coupled scheme reduces delays and results in throughput improvement of 67%
for long and 12% for short traffic over schemes that employ adaptive burst sizing based on number of active
traffic flows and independent wavelength assignment schemes.