Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improved Performance of BitTorrent Traffic Prediction Using Kalman
  Filter   Supervising internet traffic is essential for any Internet Service Provider
(ISP) to dynamically allocate bandwidth in an optimized manner. BitTorrent is a
well-known peer-to-peer file-sharing protocol for bulky file transfer. Its
extensive bandwidth consumption affects the Quality of Service (QoS) and causes
latency to other applications. There is a strong requirement to predict the
BitTorrent traffic to improve the QoS. In this paper, we propose a Kalman
filter (KF) based method to predict the network traffic for various traffic
data sets. The observed performance of KF is superior in terms of both Mean
Squared Error (MSE) and total computation time, when compared to Auto
Regressive Moving Average (ARMA) model.

31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph