Botta, Alessio (2010) Towards informed diversity in IP networks: techniques, issues, and solutions. [Tesi di dottorato] (Inedito)


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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Towards informed diversity in IP networks: techniques, issues, and solutions
Data: 2010
Numero di pagine: 197
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Informatica e sistemistica
Scuola di dottorato: Ingegneria dell'informazione
Dottorato: Ingegneria informatica ed automatica
Ciclo di dottorato: 22
Coordinatore del Corso di dottorato:
Data: 2010
Numero di pagine: 197
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 - Sistemi di elaborazione delle informazioni
Depositato il: 24 Mag 2010 08:32
Ultima modifica: 17 Giu 2014 11:29
DOI: 10.6092/UNINA/FEDOA/3889


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.

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