XAV: a fast and flexible tracing framework for network simulation
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
Self-management of hybrid networks: can we trust NetFlow data?
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
The network data handling war: MySQL vs. NfDump
EUNICE'10 Proceedings of the 16th EUNICE/IFIP WG 6.6 conference on Networked services and applications: engineering, control and management
Collection and exploration of large data monitoring sets using bitmap databases
TMA'10 Proceedings of the Second international conference on Traffic Monitoring and Analysis
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Internet traffic analysis as a research area has attracted lots of interest over the last decade. The traffic data collected for analysis are usually stored in plain files and the analysis tools consist of customized scripts each tailored for a specific task. As data are often collected over a longer period of time or from different vantage points, it is important to keep metadata that describe the data collected. The use of separate files to store the data, the metadata, and the analysis scripts provides an abstraction that is much too primitive. The information that "glues" these different files together is not made explicit but is solely in the heads of the people involved in the activity. As a consequence, manipulating the data is very cumbersome, does not scale, and severely limits the way these data can be analyzed. We propose to use a database management system (DBMS) that provides the infrastructure for the analysis and management of data from measurements, related metadata, and obtained results. We discuss the problems and limitations with today's approaches, describe our ideas, and demonstrate how our DBMS-based solution, called InTraBase, addresses these problems and limitations. We present the first version of our prototype and preliminary performance analysis results.