Detecção online de agregações hierárquicas bidimensionais de fluxos em redes definidas por software
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Data
2014-12-16
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Universidade Federal de Goiás
Resumo
Software Defined Networking represents a new paradigm that eases the operation, monitoring
and network managing through the decoupling between the control plane and the
data plane. However, in this new context, some classic solutions in the network monitoring
field need to be revisited, as there are new constraints, but there are also new opportunities.
In monitoring context, one strategy commonly used, mainly in high capacity networks, is
the tracking of the most frequent items, also known as heavy hitters. One approach to
monitoring the most frequent items consists in detecting the hierarchical heavy hitters,
which allows an efficient real time monitoring. In this work, we propose and evaluate a
new monitoring solution capable of online detection of hierarchical heavy hitters, using
the characteristics of software defined networks, in special the OpenFlow protocol. Our
proposal, combines a flexible accounting of flow rules, from OpenFlow switches, with
inspection of traffic samples through a dedicated device. We evaluate our proposal in a
simulated and emulated environments, both using packet traces generated artificially and
also from real networks. The results show that our proposal has satisfactory accuracy and
low convergence time in comparison to a previous solution to OpenFlow networks, in
addition to identify heavy hitters in two dimensions.
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Citação
CRUZ, M. A. Detecção online de agregações hierárquicas bidimensionais de fluxos em redes definidas por software. 2014. 87 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2014.