Abstract
Keeping Disaster Recovery Infrastructures (DRI) operational is vital in case of incidents. Notwithstanding, continuously monitoring them keeps a costly activity. Therefore, it is essential to have cost-effective solutions while maintaining a continuous.
In that aim, this work proposes a cost-effective framework for monitoring DRI supported by an Internet of Things (IoT) device collecting data from their sensors strategically installed in the facilities to protect. In case of incidents, the framework triggers the alerts. A mobile application presents graphically, in real-time, the collected data from sensors. The physical experimentation and achieved results demonstrate the effectiveness of the framework to protect DRI. The proposed framework enabled by software to the different layers (IoT, middleware, and mobile application), and the hardware with its schematic, can help to develop innovative business models for managing DRI. The prototype of the framework produced a large dataset that can help future research on finding anomalies.
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Acknowledgements
This work is funded by National Funds through the FCT - Foundation for Science and Technology, I.P., within the scope of the project Ref\(^{\underline{\text {a}}}\) UIDB/05583/2020. Furthermore, we would like to thank the Research Centre in Digital Services (CISeD) and the Polytechnic of Viseu for their support. This work was also supported by FCT/MCTES through national funds and when applicable co-funded EU funds under the project UIDB/50008/2020.
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Rocha, J. et al. (2023). A Cost-Effective Framework for Monitoring Disaster Recovery Infrastructures. In: de la Iglesia, D.H., de Paz Santana, J.F., López Rivero, A.J. (eds) New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence. DiTTEt 2022. Advances in Intelligent Systems and Computing, vol 1430. Springer, Cham. https://doi.org/10.1007/978-3-031-14859-0_18
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DOI: https://doi.org/10.1007/978-3-031-14859-0_18
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