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Design of high-speed networks considering monofractal and multifractal traffic models.

Fractal traffic models capture uniquely statistical scaling characteristics and the burstiness of the real network traffic. The impact of such traffic models on existing networks has been studied extensively in the related literature and the relevance of such analysis to dimension the necessary resources and evaluate correctly the performance of these systems using computational simulation is well-known. On the other hand, the project of network algorithms already taking into account these models possesses several open issues due to the constant evolving network technologies. The design of high-speed networks considering fractal traffic models is the objective of this work and in order to illustrate the extension of the universe of possible applications, several different network scenarios were chosen: traffic monitoring applied to an intrusion detection system, traffic regulation to maintain the necessary quality of service in a domain according to some service level agreement, arriving traffic conformation at the entrance of an optical network domain and the planning of the necessary bandwidth for a satellite-based network carrying Internet traffic. In this work, important contributions were obtained for the previous enumerated scenarios: statistical process controls to monitor fractal sequences were developed; the leaky bucket, a traditional traffic regulator, was extended to be able to deal with fractal traffic; approaches to plan burst assembly algorithms, a class of traffic shaping mechanisms of optical burst switching networks, were introduced for the case when the incoming traffic is fractal and an estimative of the necessary bandwidth of a satellite-based demand-assignment multiple access system receiving fractal traffic at its entrance was obtained. All the presented results were theoretically and numerically studied. The results show the superior performance of the proposed solutions compared with existent techniques when the local traffic is fractal.

Identiferoai:union.ndltd.org:IBICT/oai:agregador.ibict.br.BDTD_ITA:oai:ita.br:425
Date27 August 2007
CreatorsHellinton Hatsuo Takada
ContributorsAlessandro Anzaloni
PublisherInstituto Tecnológico de Aeronáutica
Source SetsIBICT Brazilian ETDs
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/doctoralThesis
Formatapplication/pdf
Sourcereponame:Biblioteca Digital de Teses e Dissertações do ITA, instname:Instituto Tecnológico de Aeronáutica, instacron:ITA
Rightsinfo:eu-repo/semantics/openAccess

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