Abstract
A major issue for growing networks is maintenance: as the amount of work increases, manual management becomes impossible. To ensure peak performance and avoid the propagation of errors that could potentially bring down the entire network, the project aims to design a centralized network monitoring tool which would detect anomalies such as increased loss or latency, isolate source of error and take appropriate action to ensure the network maintains its integrity and availability, as well as reduce the mean time to repair. The project is designed to work for the network inside a data center and it looked into different strategies that would fit the current network topology.
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Acknowledgement
This work was supported by SIMULATE project (no. 15/17.10.2017): Simulations of Ultra-High Intensity Laser Pulse Interaction with Solid Targets.
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Voicu, E., Carabas, M. (2019). Network Self-healing. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications Challenges 10. IP&C 2018. Advances in Intelligent Systems and Computing, vol 892. Springer, Cham. https://doi.org/10.1007/978-3-030-03658-4_24
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DOI: https://doi.org/10.1007/978-3-030-03658-4_24
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