Real-time Analysis of NetFlow Data for Generating Network Traffic Statistics using Apache Spark
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F16%3A00106981" target="_blank" >RIV/00216224:14610/16:00106981 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7502952" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7502952</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NOMS.2016.7502952" target="_blank" >10.1109/NOMS.2016.7502952</a>
Alternative languages
Result language
angličtina
Original language name
Real-time Analysis of NetFlow Data for Generating Network Traffic Statistics using Apache Spark
Original language description
Abstract—In this paper, we present a framework for the realtime generation of network traffic statistics on Apache Spark Streaming, a modern distributed stream processing system. Our previous results showed that stream processing systems provide enough throughput to process a large volume of NetFlow data and hence they are suitable for network traffic monitoring. This paper describes the integration of Apache Spark Streaming into a current network monitoring architecture. We prove that it is possible to implement the same basic methods for NetFlow data analysis in the stream processing framework as in the traditional ones. Moreover, our stream processing implementation discovers new information which is not available when using traditional network monitoring approaches.
Czech name
—
Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium
ISBN
9781509002238
ISSN
1542-1201
e-ISSN
—
Number of pages
2
Pages from-to
1019-1020
Publisher name
IEEE Xplore Digital Library
Place of publication
Istanbul, Turkey
Event location
Istanbul, Turkey
Event date
Apr 25, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000389830100163