Abstract
The research consists in the study of the problem arises from the improper use of software, which triggers an excessive investment in tools that do not represent an academic benefit for an institution of higher education. This work proposes the development of an adaptive system which captures the data generated from the execution of any computer application in the laboratories. At the same time, the modules send the data to a server hosted in the cloud where the activities are stored in offline files. On the other hand, the monitoring system tabulates these data and presents them through reports following the XP methodology to facilitate their maintenance. The implementation of the monitoring system made it possible to determine the use of the applications executed in a given time, for the proper control of academic systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Barrera-Osorio, F., Linden, L.L.: The use and misuse of computers in education: evidence from a randomized controlled trial of a language arts program 1 (2009)
Correa, R.: Reglamento para la adquision de software por parte de entidades contratantes del sector público. https://www.elcomercio.com/uploads/files/2017/05/24/Decreto-1425-2017_mayo_prelacion.pdf
Ruiz, G., Morales, E.: Sistema de control y monitoreo para mejorar los procesos de administración de los laboratorios de las Carreras de Sistemas. Electrónica e Industrial en la FISEI-UTA (2014). http://repositorio.uta.edu.ec/jspui/handle/123456789/8112
Galarza Molina, F.X.: Sistema para monitoreo y control de uso de software en la empresa (2007)
Alechina, N., Halpern, J.Y., Kash, I.A., Logan, B.: Decentralised norm monitoring in open multi-agent systems (2016)
Kutare, M., Schwan, K., Eisenhauer, G., Talwar, V., Wang, C., Wolf, M.: Monalytics: online monitoring and analytics for managing large scale data centers. In: ICAC 2010 Proceedings of the 7th International Conference on Autonomic Computing, pp. 141–150 (2010)
Groves, T., Arnold, D., He, Y.: In-network, push-based network resource monitoring. In: Proceedings of the Third International Workshop on Network-Aware Data Management, pp. 8–16 (2013). https://doi.org/10.1145/2534695.2534704
Cook, J., Sharifi, H., Farrahi, A.: Towards production monitoring of application progress. In: Proceedings of the 4th International Workshop on Software Engineering for Computational Science and Engineering, pp. 56–57 (2011). https://doi.org/10.1145/1985782.1985792
Kickidler: Tarifas de las licencias. https://www.kickidler.com/es/price.html
IM Software: Licencia iMonitor EAM. https://es.imonitorsoft.com/employeemonitoring-software.html
ActivTrak: Free Employee Monitoring Software. https://activtrak.com/pricing/
Letelier, P., Penadés, M.C.: Métodologías ágiles para el desarrollo de software: eXtreme Programming (XP) (2006)
Wells, D.: User Stories. http://www.extremeprogramming.org/rules/userstories.html
Girón, B.: Tamaño límite title y description. https://www.borjagiron.com/seo/tamano-limite-title-description/
Dixon, P., Community: What is the maximum length of a URL in different browsers? https://stackoverflow.com/questions/417142/what-is-themaximum-length-of-a-url-in-different-browsers
Microsoft: Win32_ProcessStartTrace class. https://docs.microsoft.com/enus/previous-versions/windows/desktop/krnlprov/win32-processstarttrace
Microsoft: Win32_ProcessStopTrace class. https://docs.microsoft.com/enus/previous-versions/windows/desktop/krnlprov/win32-processstoptrace
Tisalema, A., Urvina, K.: Sistema Embebido IoT para la Facultad de Ingeniería en Sistemas, Electrónica e Industrial aplicando Programación Limpia y Patrones de Diseño (2017). http://repo.uta.edu.ec/handle/123456789/26222
Acknowledgments
The authors gratefully acknowledge the financial support provided by Universidad Técnica de Ambato for the development of the research project “Plataforma CloudIoT de control y monitoreo del uso de equipamiento y programas informáticos en aulas y laboratorios”, and the research project PFISEI24 “Integración de Machine Learning y Visión por Computadora para la Manipulación de Objetos Aplicados al Youbot Kuka”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Nogales, R., Tandazo, P., Mayorga, F., Guevara, D., Vargas, J. (2020). Open Source Cloud Platform for Academic Systems Monitoring Software. In: Botto-Tobar, M., Zambrano Vizuete, M., Torres-Carrión, P., Montes León, S., Pizarro Vásquez, G., Durakovic, B. (eds) Applied Technologies. ICAT 2019. Communications in Computer and Information Science, vol 1193. Springer, Cham. https://doi.org/10.1007/978-3-030-42517-3_34
Download citation
DOI: https://doi.org/10.1007/978-3-030-42517-3_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-42516-6
Online ISBN: 978-3-030-42517-3
eBook Packages: Computer ScienceComputer Science (R0)