Publicação
A Cost-Effective Framework for Monitoring Disaster Recovery Infrastructures
| Resumo: | 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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| Autores principais: | Rocha, Júlio |
| Outros Autores: | Lucas, Marco; Figueiredo, Ricardo; Henriques, João; Bernardo, Marco V.; Wanzeller, Cristina; Caldeira, Filipe |
| Assunto: | Disaster recovery Data center Data center Cost-effective Framework |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | documento de conferência |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Instituto Politécnico de Viseu |
| Idioma: | inglês |
| Origem: | Repositório Científico do Instituto Politécnico de Viseu |
| Resumo: | 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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