A Study of Optical Burst Switched Networks with the Jumpstart Just In Time Signaling Protocol
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2004-07-07
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Abstract
This thesis studies the optical burst switched (OBS) networks. It consists of three parts. In the first part, we present a detailed analysis of three major wavelength reservation schemes for OBS networks: JIT, JET, and Horizon. The contributions include:
(i) analytical models of JET and Horizon (on a single OBS node) that are more accurate than previously published ones and valid for general burst length and offset length distributions;
(ii) determination of the regions of parameter values, such as burst offset length, optical switching and hardware processing overheads, so that a more complex reservation scheme reduces to a simpler one; and
(iii) a new reservation scheme, JIT+, which is as simple to implement as JIT, and its performance tracks that of Horizon and JET.
We compare the performance (in terms of burst drop probability) of the four wavelength reservation schemes on a single OBS node, as well as on a path of OBS nodes with cross traffic, under various sets of parameter values. Our major finding is that, under reasonable assumptions regarding the current and future state-of-the-art technologies in optical switch and electronic hardware, the simplicity of JIT and JIT+ seems to outweigh any performance benefits of Horizon and JET.
In the second part of this thesis, we present the results of a simulation analysis of OBS networks employing the Jumpstart JIT signaling protocol. We study the performance of various network topologies in terms of burst drop probability and investigate the effects of several system parameters, including message processing time, OXC configuration delay, user-to-switch propagation delay, and switch-to-switch propagation delay. We also investigate the effect of wavelength converters.
In the third part, we develop a suite of adaptive and non-adaptive wavelength assignment policies for OBS networks. We also apply traffic engineering techniques to reduce wavelength contention through traffic isolation. Our performance study indicates that, in the absence of full conversion capabilities, intelligent choices in assigning wavelengths to bursts at the source can have a profound effect on the burst drop probability in an OBS network.
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OBS, JIT, Jumpstart
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Degree
PhD
Discipline
Computer Science
