Abstract
The main idea in the failures forecasting is to predict catastrophic faults in the network, doing that it is possible to guarantee reliability and quality (QoS) in real time to maintain the network availability and reliability and to initiate appropriate actions of restoration of “normality”. The following article describes the process performed for implementing failures prediction system in LAN using artificial neuronal networks multi-layer Perceptron. It describes the system, the tests made for the selection of the own parameters of the neuronal network like the training algorithm and the obtained results.
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Parra, O.J.S., Garcia, G., Daza, B.S.R. (2014). LAN Traffic Forecasting Using a Multi Layer Perceptron Model. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2014. Lecture Notes in Computer Science, vol 8638. Springer, Cham. https://doi.org/10.1007/978-3-319-10353-2_35
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DOI: https://doi.org/10.1007/978-3-319-10353-2_35
Publisher Name: Springer, Cham
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