Cloud-Based Automatic Configuration and Disaster Recovery of Communication Systems Applied in Engineering Training

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, including Welch’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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Publication Details

Journal
Electronics
Published
2024-10-26
DOI
https://doi.org/10.3390/electronics13214203
Citations
1
Primary Topic
Experimental Learning in Engineering
Type
article
Field-Weighted Citation Impact
0.32
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article

Cloud-Based Automatic Configuration and Disaster Recovery of Communication Systems Applied in Engineering Training

T. J. Mateo Sanguino, Juan Diego Morillo Reina
1 citations
Electronics
Experimental Learning in Engineering
0.32
article

Cloud-Based Automatic Configuration and Disaster Recovery of Communication Systems Applied in Engineering Training

T. J. Mateo Sanguino, Juan Diego Morillo Reina
article en
1 citations

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, including Welch’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.

ElectronicsVol. 13(21)
Universidad de Huelva (ES)
Climate action
Openalex Percentile: Top 36%
Experimental Learning in Engineering
0.32
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Cloud-Based Automatic Configuration and Disaster Recovery of Communication Systems Applied in Engineering Training — T. J. Mateo Sanguino, Juan Diego Morillo Reina · Electronics (2024) | TGRS Research Map | TGRS