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Design and Vulnerability Analysis in ATM LAN Backbones

<p>Many small to medium sized computer networks currently in use around the world are based on techniques allowing communications only in the 10 Mbps range. Due to the ever increasing amounts of traffic more efficient network solutions are becoming increasingly important, especially in establishment-wide backbones. ATM is a very interesting choice for network backbones, since it provides virtually seamless integration with existing LANs and a platform for future transitions into more advanced LAN environments. Since network solutions often cost a great deal of money and need to function well in order to properly support users, much thought must be put into how a particular network should be designed. This work concentrates on that problem, the design of an ATM backbone. To be more exact, an existing network infrastructure based partially on ATM LAN needs to be expanded, resulting in a new network backbone based purely on ATM LAN.</p><p>When a new network has been designed it is desirable to know what its weak points are and how likely it is that service will be interrupted. For this reason a vulnerability analysis of certain elements in the ATM infrastructure has been performed. This analysis is very lightweight and easy to understand and interpret. There are several reasons for not performing a severely comprehensive analysis. For example, a lightweight analysis can be performed rapidly and is easy to maintain as the network evolves. In order to enable the analysis to be performed rapidly a method for lightweight vulnerability analysis has been constructed. The result of this work is a new ATM backbone design based on a number of ATM nodes and a natively connected router. The probability of certain failures in this structure has been calculated and recommendations for recovery from failures constructed.</p>

Identiferoai:union.ndltd.org:UPSALLA/oai:DiVA.org:his-230
Date January 1998
CreatorsLeifsson, Egir Örn
PublisherUniversity of Skövde, Department of Computer Science, Skövde : Institutionen för datavetenskap
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, text

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