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Summary: Scaling Properties of the Internet Graph
Aditya Akella Shuchi Chawla Arvind Kannan Srinivasan Seshan
Computer Science Department
Carnegie Mellon University
Pittsburgh, PA 15213
faditya,shuchig@cs.cmu.edu farvind,srinig@cmu.edu
ABSTRACT
As the Internet grows in size, it becomes crucial to understand how
the speeds of links in the network must improve in order to sustain
the pressure of new endnodes being added each day. Although the
speeds of links in the core and at the edges roughly improve accord
ing to Moore's law, this improvement alone might not be enough.
Indeed, the structure of the Internet graph and routing in the net
work might necessitate much faster improvements in the speeds of
key links in the network.
In this paper, using a combination of analysis and extensive sim
ulations, we show that the worst congestion in the Internet in fact
scales poorly with the network size
(n1+
8 , where n is the num
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