Cloud-Based Automatic Configuration and Disaster Recovery of Communication Systems Applied in Engineering Training
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Abstract
Network management and troubleshooting require not only a grasp of advanced concepts
but also the development of analytical and problem-solving skills. To bridge this gap, this paper introduces
a novel network administration system, DRACSC (Spanish acronym for device for automatic
recovery and configuration of communication systems), designed for the automatic configuration
and disaster recovery of communication equipment. This system transcends the limitations of current
hardware and software solutions by combining their advantages, boasting portability, automated
functions, and a cloud-based repository as its main features. The DRACSC system, undergoing a
comprehensive large-scale evaluation involving diverse user groups across multiple institutions, was
tested with 89 users, including students and teachers at educational centers and ICT (Information
and Communication Technology) professionals. The benefits of the system were evaluated through a
training program based on simulated real-world ICT environments, focusing on both quantitative
results on the reduction in time to complete user tasks, as well as qualitative results on the interface
and usability of the system. Statistical analysis, includingWelch’s t-test on opinion surveys, indicated
a significant increase in knowledge and understanding, demonstrating the system’s potential to
enhance education and practice. Moreover, the evaluation shed light on the user experience, with
positive impacts observed for learning and teaching implications. As a result, the study has verified
that the system has the potential to significantly influence network management practices, enhancing
both learning and professional application through improved efficiency and usability
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Bibliographic citation
Morillo Reina, J. D., & Mateo Sanguino, T. J. (2024). Cloud-Based Automatic Configuration and Disaster Recovery of Communication Systems Applied in Engineering Training. In Electronics (Vol. 13, Issue 21, p. 4203). MDPI AG. https://doi.org/10.3390/electronics13214203













