Venugopalan Ramasubramanian, Dahlia Malkhi, Fabian Kuhn, Mahesh Balakrishnan, and Aditya Akella
Describing a complex and large network such as the Internet in
a concise way, that brings out its fundamental properties, is a
task that has challenged researchers for many years. Existing
work on internet structure -- and empirical reasoning --
indicates that it is tree-like. This works quantifies the
degree to which at least two important internet
measures---latency and bandwidth---approximate tree metrics. We
evaluate our ability to model end-to-end path attributes using
a tree embedding by actually building tree representations. In
addition to being simple and intuitive models, these trees
provide a range of commonly required functionality beyond
simple attribute modeling.
The benefits of our study are twofold. First, we investigate
the ability to portray the inherent hierarchical structure of
internets using the most pure and compact topology, trees.
Second, trees obviate many natural tasks, such as shortest path
routing and selection of multicast spanners. Our study shows
that these tasks can be done with high degree of success and
In ACM SIGMETRICS
Publisher Association for Computing Machinery, Inc.
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