Towards informed diversity in IP networks: techniques, issues, and solutions

Botta, Alessio Towards informed diversity in IP networks: techniques, issues, and solutions. [Tesi di dottorato] (Inedito)

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Abstract

The current Internet scenario is very different from that envisioned in the original plan. The original protocols of the Internet were designed to allow simple communications between a few hundreds of academic and government users, which were assumed to be fixed and trusted. Today, a wide range of new access technologies have been introduced, which make user mobility and ubiquitous access easier and widely adopted. On the other hand, new applications and services are spreading, some of which are becoming almost necessary for our life. This new scenario poses several challenges to the Internet infrastructure, and different approaches have been proposed in literature towards the Future Internet. Adopting an evolutionary approach, in this thesis we provide contributions in the area of space and time diversity at IP layer, aiming to overcome limitations of current Internet infrastructure. In particular, we propose new techniques implementing what we call informed diversity: space and time diversity using information about the status of the network to make informed decisions about the operating parameters. We adopt a methodology composed of theoretical, simulations, and experimental analysis, and we provide contributions in terms of methodologies and techniques for network monitoring, and in terms of innovative techniques and tools for space and time diversity at IP layer. Obtained results show that informed space and time diversity achieve better performance than traditional techniques.

Tipologia di documento:Tesi di dottorato
Settori scientifico-disciplinari MIUR:Area 09 Ingegneria industriale e dell'informazione > ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
Coordinatori della Scuola di dottorato:
Coordinatore del Corso di dottoratoe-mail (se nota)
Garofalo, Francescofranco.garofalo@unina.it
Tutor della Scuola di dottorato:
Tutor del Corso di dottoratoe-mail (se nota)
Ventre, Giorgiogiorgio.ventre@unina.it
Stato del full text:Accessibile
Numero di pagine:197
Istituzione:Università degli Studi di Napoli Federico II
Dipartimento o Struttura:Informatica e Sistemistica
Tipo di tesi:Dottorato
Stato dell'Eprint:Inedito
Scuola di dottorato:Ingegneria dell'Informazione
Denominazione del dottorato:Ingegneria Informatica ed Automatica
Ciclo di dottorato:XXII
Numero di sistema:3889
Depositato il:24 Maggio 2010 10:32
Ultima modifica:28 Giugno 2012 12:38

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