Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Data Augmented Bayesian Network for Node Failure Prediction in Optical
  Networks   Failures in optical network backbone can cause significant interruption in
internet data traffic. Hence, it is very important to reduce such network
outages. Prediction of such failures would be a step forward to avoid such
disruption of internet services for users as well as operators. Several
research proposals are available in the literature which are applications of
data science and machine learning techniques. Most of the techniques rely on
significant amount of real time data collection. Network devices are assumed to
be equipped to collect data and these are then analysed by different algorithms
to predict failures. Every network element which is already deployed in the
field may not have these data gathering or analysis techniques designed into
them initially. However, such mechanisms become necessary later when they are
already deployed in the field. This paper proposes a Bayesian network based
failure prediction of network nodes, e.g., routers etc., using very basic
information from the log files of the devices and applying power law based data
augmentation to complement for scarce real time information. Numerical results
show that network node failure prediction can be performed with high accuracy
using the proposed mechanism.

29
The categories of this paper are: funct-an
15
The categories of this paper are: nucl-ex
19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
30
The categories of this paper are: q-alg
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
2
The categories of this paper are: math