World Scientific
Skip main navigation

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×

System Upgrade on Tue, May 28th, 2024 at 2am (EDT)

Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at customercare@wspc.com for any enquiries.

Burst Loss Probabilities in an OBS Network with Dynamic Simultaneous Link Possession

    https://doi.org/10.1142/9781860948923_0012Cited by:0 (Source: Crossref)
    Abstract:

    In an Optical Burst Switched (OBS) network, depending on the maximum burst size, the minimum link lengths and the data rate, bursts may span two, three and even more links simultaneously as they travel from their source to their destination. Bursts dynamically move from occupying one set of links to the next by releasing a wavelength on one link and occupying a wavelength on the next link along their route. This behavior greatly differs from the widely studied packet-switched and circuit-switched networks and thus it requires the development of new performance models. In this chapter, we consider bursts, which are assumed to be long enough to occupy wavelengths on two successive links simultaneously but our analysis can be extended for bursts that hold any number of links. The burst arrival process is modeled by a two-state Markov process, called IDLE/ON, which accurately captures the burst transmission at the edge of the OBS network. We present a new queueing model which captures the dynamic simultaneous link possession and allows us to evaluate the burst loss probabilities of a path in an OBS network. Decomposition and state-dependent arrivals are used in order to analyze the queueing network. The approximate results were verified by simulation for a variety of input parameters and the approximation algorithm was found to have a good accuracy.