DeepAI AI Chat
Log In Sign Up

Evaluation of the performance challenges in automatic traffic report generation with huge data volumes

by   Carlos Vega Moreno, et al.
Universidad Autónoma de Madrid
Programa A3U UPNA

In this paper we analyze the performance issues involved in the generation of auto- mated traffic reports for large IT infrastructures. Such reports allows the IT manager to proactively detect possible abnormal situations and roll out the corresponding cor- rective 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 is 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.


Increasing Traffic Flows with DSRC Technology: Field Trials and Performance Evaluation

As traffic congestion becomes a huge problem for most developing and dev...

CLARA: Clinical Report Auto-completion

Generating clinical reports from raw recordings such as X-rays and elect...

A reconstruction of Florida Traffic Flow During Hurricane Irma (2017)

Recent Hurricane Irma (2017) created the most extensive scale of evacuat...

From plague to coronavirus: On the value of ship traffic data for epidemic modeling

In addition to moving people and goods, ships can spread disease. Ship t...

SmartBook: AI-Assisted Situation Report Generation

Emerging events, such as the COVID pandemic and the Ukraine Crisis, requ...

Exploring Network-Wide Flow Data with Flowyager

Many network operations, ranging from attack investigation and mitigatio...