On the design and performance evaluation of automatic traffic report generation systems with huge data volumes
Entity
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesPublisher
John Wiley and SonsDate
2018-11-08Citation
10.1002/nem.2044
International Journal of Network Management 28.6 (2018): e2044
ISSN
1055-7148 (print); 1099-1190 (online)DOI
10.1002/nem.2044Funded by
This work has been partially supported by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund under the projects TRÁFICA (MINECO/FEDER TEC2015‐69417‐C2‐1‐R) and Procesado Inteligente de Tráfico (MINECO/FEDER TEC2015‐69417‐C2‐2‐RProject
Gobierno de España. TEC2015‐69417‐C2‐1‐R; Gobierno de España. TEC2015‐69417‐C2‐2‐REditor's Version
https://doi.org/10.1002/nem.2044Subjects
Traffic analysis; Network management; Automatic reports; TelecomunicacionesNote
"This is the peer reviewed version of the following article: International Journal of Network Management 28.6 (2018): e2044, which has been published in final form at https://doi.org/10.1002/nem.2044. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited."Rights
© 2018 John Wiley & Sons, Ltd.Abstract
In this paper, we analyze the performance issues involved in the generation of automated traffic reports for large IT infrastructures. Such reports allow the IT manager to proactively detect possible abnormal situations and roll out the corresponding corrective actions. With the ever‐increasing bandwidth of current networks, the design of automated traffic report generation systems is very challenging. In a first step, the huge volumes of collected traffic are transformed into enriched flow records obtained from diverse collectors and dissectors. Then, such flow records, along with time series obtained from the raw traffic, are further processed to produce a usable report. As will be shown, the data volume in flow records turns out to be very large as well and requires careful selection of the key performance indicators (KPIs) to be included in the report. In this regard, we discuss the use of high‐level languages versus low‐level approaches, in terms of speed and versatility. Furthermore, our design approach is targeted for rapid development in commodity hardware, which is essential to cost‐effectively tackle demanding traffic analysis scenarios. Actually, the paper shows feasibility of delivering a large number of KPIs, as will be detailed later, for several TBytes of traffic per day using a commodity hardware architecture and high‐level languages
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Google Scholar:Vega, Carlos
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Miravalls-Sierra, Eduardo
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Julián-Moreno, Guillermo
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López de Vergara Méndez, Jorge Enrique
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Magaña, Eduardo
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Aracil Rico, Javier
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