Abstract
The increase of the IoT and the cloud environment have played a significant role of making our society knowledgeable and informative.
Due to this trends the system environment gets more sophisticated and requires more system resources. In this paper, the monitoring automation without humans being involved has been proposed. It is noted that the 93.75% faults has been detected via the simulation using the proposed technique and the faults that the operators reported have been detected as well in datacenter.
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Kim, C., Joe, I., Jang, D., Kim, E., Nam, S. (2019). Online Monitoring Automation Using Anomaly Detection in IoT/IT Environment. In: Silhavy, R. (eds) Artificial Intelligence Methods in Intelligent Algorithms. CSOC 2019. Advances in Intelligent Systems and Computing, vol 985. Springer, Cham. https://doi.org/10.1007/978-3-030-19810-7_10
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DOI: https://doi.org/10.1007/978-3-030-19810-7_10
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-19810-7
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