  We study structural feature and evolution of the Internet at the autonomous
systems level. Extracting relevant parameters for the growth dynamics of the
Internet topology, we construct a toy model for the Internet evolution, which
includes the ingredients of multiplicative stochastic evolution of nodes and
edges and adaptive rewiring of edges. The model reproduces successfully
structural features of the Internet at a fundamental level. We also introduce a
quantity called the load as the capacity of node needed for handling the
communication traffic and study its time-dependent behavior at the hubs across
years. The load at hub increases with network size $N$ as $\sim N^{1.8}$.
Finally, we study data packet traffic in the microscopic scale. The average
delay time of data packets in a queueing system is calculated, in particular,
when the number of arrival channels is scale-free. We show that when the number
of arriving data packets follows a power law distribution, $\sim n^{-\lambda}$,
the queue length distribution decays as $n^{1-\lambda}$ and the average delay
time at the hub diverges as $\sim N^{(3-\lambda)/(\gamma-1)}$ in the $N \to
\infty$ limit when $2 < \lambda < 3$, $\gamma$ being the network degree
exponent.
