• America
• AS
• Asia
• Internet
• Internet topology
• IXP
• Oceania

A detailed view of the Internet topology at the Autonomous System level of abstraction
is crucially important to developments on network planning, optimal routing
algorithms and failure detection measures. Many topological models have been proposed
to generate Internet Autonomous System (AS) graphs: nevertheless it is fundamental
to know how Internet AS - level datasets are built, which tools are used to
achieve this objective and what are the factors that could bias this measurements.
That justies why starting Chapters point out retrieval techniques describing the
pros and cons of each dataset considered. This thesis provides two main contributions:
it proposes the use of more than a single dataset for studying Internet AS -
level features (datasets gathered from dierent projects are rst compared and then
merged in order to obtain a more detailed view of Internet graph); it presents a new
framework to assign geographical information to Autonomous Systems. The latter
topic will be widely used to describe how Internet graph shows dierent features in
relation to geographical scope on which graph analysis is focusing. In particular,
this thesis will describe Internet properties at global scope, at regional scope and
at country scope: for each continent it will be provided a brief description of main
factors that guide local Internet evolution, then it will be described a closer examination
of two o three most signicant countries of each Extra - European region.
A complementary work has been developed by Alessandro Improta (Analysis of the internet structure at the autonomous system level of abstraction: the role of internet exchange points on a worldwide and european scale. Master's thesis, Departmentof Information Engineering, University of Pisa, 2009.), who focused on the most important European countries.