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User alerts with real-time data monitoring for IVIS framework
Janda, Jan ; Bureš, Tomáš (advisor) ; Horký, Vojtěch (referee)
As the number of IoT devices and the size of CPS grow, the amount of critical data, which needs to be ceaselessly monitored, also increase. IVIS is a web-based data processing and visualization framework for IoT as well as CPS data and it would clearly benefit from the ability to monitor data in real time, issue alerts and send notifications. In this thesis, we extend the IVIS framework with such ability, which has not been developed for the framework yet. This extension can be used to set up an automatic monitoring of incoming data with appropriate level of detail. An emphasis is given to versatility of possible configurations. It is possible to precisely define conditions for the monitoring and rules for the notifications across a wide range of requirements. It is also important that the system has adjustable temporal stability, and therefore is not affected by outliers and random noise.

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