Stream-wise Aggregation of Flow Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F18%3A10133094" target="_blank" >RIV/63839172:_____/18:10133094 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Stream-wise Aggregation of Flow Data
Original language description
Network monitoring, especially in large networks, uses so-called flow data analysis. Such analysis is based on aggregation of network packets into IP flows that represent unidirectional communication between pairs of IP addresses. Authors of [1] presented a unique approach to the analysis to handle high data volume of the flow data at near real-time. It is based on a continuous on-the-fly analysis, without permanent storage. Naturally, this approach requires a particular design of the analysis tools. NEMEA [2] is the existing open source detection system that was developed by CESNET, the operator of the Czech National Research and Education Network (NREN), in cooperation with Czech universities. NEMEA uses a UniRec data format that allows for a representation of fixed-sized and variable sized data fields. There are many NEMEA modules, but a universal aggregation module for the NEMEA system was missing. That is why this work focused on the development of a new NEMEA module that can fulfill the requirements. This presentation describes the design and implementation of the new NEMEA aggregation module. The design was optimized to create a high-performance processing module since it must process a high volume of flow data with a low delay. The presentation also describes several use cases of the developed module, i.e., connections to existing other NEMEA modules or tools. Finally, the functionality and the performance of the developed module were evaluated, and the presented results confirm that the module is suitable for deployment in monitoring systems of high-speed networks.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
<a href="/en/project/LM2015042" target="_blank" >LM2015042: E-infrastructure CESNET</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů