Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On the Distribution of Traffic Volumes in the Internet and its
  Implications   Getting good statistical models of traffic on network links is a well-known,
often-studied problem. A lot of attention has been given to correlation
patterns and flow duration. The distribution of the amount of traffic per unit
time is an equally important but less studied problem. We study a large number
of traffic traces from many different networks including academic, commercial
and residential networks using state-of-the-art statistical techniques. We show
that the log-normal distribution is a better fit than the Gaussian distribution
commonly claimed in the literature. We also investigate a second heavy-tailed
distribution (the Weibull) and show that its performance is better than
Gaussian but worse than log-normal. We examine anomalous traces which are a
poor fit for all distributions tried and show that this is often due to traffic
outages or links that hit maximum capacity.
  We demonstrate the utility of the log-normal distribution in two contexts:
predicting the proportion of time traffic will exceed a given level (for
service level agreement or link capacity estimation) and predicting 95th
percentile pricing. We also show the log-normal distribution is a better
predictor than Gaussian or Weibull distributions.

20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc