Fog Computing en el contexto de Smart Home, asistente de voz y el futuro de IoT

Fog Computing es la capa de computacien distribuida mss proxima al usuario. Una arquitectura fog exitosa permite reducir el rerardo o latencia y aumenta la eficiencia. En este articulo se expone el desarrollo e implementación de una arquitectura de computation distribuida, aplicada a un entomo de au...

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Autores:: Pinzón Castellanos, Javier
Cadena Carter, Miguel Antonio

Tipo de recurso:: Trabajo de grado de pregrado

Fecha de publicación:: 2020

Institución:: Universidad Autónoma de Bucaramanga - UNAB

Repositorio:: Repositorio UNAB

Idioma:: eng

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repository_id_str
dc.title.spa.fl_str_mv	Fog Computing en el contexto de Smart Home, asistente de voz y el futuro de IoT
dc.title.translated.eng.fl_str_mv	Fog Computing in the context of Smart Home, voice assistant and the future of IoT
title	Fog Computing en el contexto de Smart Home, asistente de voz y el futuro de IoT
spellingShingle	Fog Computing en el contexto de Smart Home, asistente de voz y el futuro de IoT Fog Computing Cloud Computing Internet de las Cosas Computación distribuida Casa inteligente Fog Computing Cloud Computing Internet of Things Distributed Computing Smart home Technological innovations Computer science Technology development Systems engineering Investigations Information and communication technologies Innovaciones tecnológicas Ciencias de la computación Ingeniería de sistemas Investigaciones Tecnologías de la información y la comunicación Internet de las cosas Computación distribuida Casa inteligente Desarrollo tecnológico
title_short	Fog Computing en el contexto de Smart Home, asistente de voz y el futuro de IoT
title_full	Fog Computing en el contexto de Smart Home, asistente de voz y el futuro de IoT
title_fullStr	Fog Computing en el contexto de Smart Home, asistente de voz y el futuro de IoT
title_full_unstemmed	Fog Computing en el contexto de Smart Home, asistente de voz y el futuro de IoT
title_sort	Fog Computing en el contexto de Smart Home, asistente de voz y el futuro de IoT
dc.creator.fl_str_mv	Pinzón Castellanos, Javier Cadena Carter, Miguel Antonio
dc.contributor.author.spa.fl_str_mv	Pinzón Castellanos, Javier Cadena Carter, Miguel Antonio
dc.contributor.cvlac.spa.fl_str_mv	Pinzón Castellanos, Javier [0000045298] Cadena Carter, Miguel Antonio [0000068845]
dc.contributor.googlescholar.spa.fl_str_mv	Pinzón Castellanos, Javier [s0csHZMAAAAJ]
dc.contributor.orcid.spa.fl_str_mv	Pinzón Castellanos, Javier [0000-0003-3956-5749] Cadena Carter, Miguel Antonio [0000-0002-0159-4889]
dc.contributor.researchgate.spa.fl_str_mv	Pinzón Castellanos, Javier [Javier-Pinzon-Castellanos]
dc.contributor.linkedin.none.fl_str_mv	Cadena Carter, Miguel Antonio [miguel-antonio-cadena-carter-17553215]
dc.subject.none.fl_str_mv	Fog Computing Cloud Computing Internet de las Cosas Computación distribuida Casa inteligente
topic	Fog Computing Cloud Computing Internet de las Cosas Computación distribuida Casa inteligente Fog Computing Cloud Computing Internet of Things Distributed Computing Smart home Technological innovations Computer science Technology development Systems engineering Investigations Information and communication technologies Innovaciones tecnológicas Ciencias de la computación Ingeniería de sistemas Investigaciones Tecnologías de la información y la comunicación Internet de las cosas Computación distribuida Casa inteligente Desarrollo tecnológico
dc.subject.keywords.eng.fl_str_mv	Fog Computing Cloud Computing Internet of Things Distributed Computing Smart home Technological innovations Computer science Technology development Systems engineering Investigations Information and communication technologies
dc.subject.lemb.spa.fl_str_mv	Innovaciones tecnológicas Ciencias de la computación Ingeniería de sistemas Investigaciones Tecnologías de la información y la comunicación
dc.subject.proposal.spa.fl_str_mv	Internet de las cosas Computación distribuida Casa inteligente Desarrollo tecnológico
description	Fog Computing es la capa de computacien distribuida mss proxima al usuario. Una arquitectura fog exitosa permite reducir el rerardo o latencia y aumenta la eficiencia. En este articulo se expone el desarrollo e implementación de una arquitectura de computation distribuida, aplicada a un entomo de automatización que aprovecha el Fog Computing como intermediario con la capa de computación en la nube. El estudio utilice una plata de desarrollo Raspberry Pi V3 conecrada a elementos finales de control como servomotor y reles, indicadores y sensores térmicos. Todo controlado por un framework de automatization que recibe las erdenes de Sid, las cuales son ejecutadas por medio de instrucciones previamente determinadas. La conexión a la nube se beneficia al reducirse el envió de datos ya que ahora solo se recibe la información relevante pare su análisis.
publishDate	2020
dc.date.accessioned.none.fl_str_mv	2020-10-27T00:19:53Z
dc.date.available.none.fl_str_mv	2020-10-27T00:19:53Z
dc.date.issued.none.fl_str_mv	2020-06-01
dc.type.coar.fl_str_mv	http://purl.org/coar/resource_type/c_2df8fbb1
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dc.identifier.doi.none.fl_str_mv	10.29375/25392115.3894
identifier_str_mv	2539-2115 1657-2831 instname:Universidad Autónoma de Bucaramanga UNAB repourl:https://repository.unab.edu.co 10.29375/25392115.3894
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dc.language.iso.spa.fl_str_mv	eng
language	eng
dc.relation.none.fl_str_mv	https://revistas.unab.edu.co/index.php/rcc/article/view/3894/3248 /ref/Artono, B., & Susanto, F. (2017). LED control system with cayenne framework for the Internet of Things (IoT). JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering), 2(1), 95–100. /ref/Bakhshi, Z., Rodriguez-Navas, G., & Hansson, H. (2019). Dependable Fog Computing: A Systematic Literature Review. 2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 395–403. https://doi.org/10.1109/SEAA.2019.00066 /ref/Homekit. (2016). Retrieved January 2, 2017, from https://www.domoticz.com/wiki/Homekit_Siri /ref/Iorga, M., Feldman, L., Barton, R., Martin, M. J., Goren, N. S., & Mahmoudi, C. (2018). Fog Computing Conceptual Model. Retrieved from https://www.nist.gov/publications/fog-computing-conceptual-model /ref/IoT Eclipse. (2019). IoT Developer Survey. Retrieved from Eclipse Foundation website: https://iot.eclipse.org/resources/iot-developer-survey/iot-developer-survey-2019.pdf /ref/Isa, I. S. M., Musa, M. O. I., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2019). Energy Efficient and Resilient Infrastructure for Fog Computing Health Monitoring Applications. 2019 21st International Conference on Transparent Optical Networks (ICTON), 1–5. https://doi.org/10.1109/ICTON.2019.8840438 /ref/Skala, K., Davidovic, D., Afgan, E., Sovic, I., & Sojat, Z. (2015). Scalable distributed computing hierarchy: Cloud, fog and dew computing. Open Journal of Cloud Computing (OJCC), 2(1), 16–24. /ref/Tsigkanos, C., Avasalcai, C., & Dustdar, S. (2019). Architectural Considerations for Privacy on the Edge. IEEE Internet Computing, 23(4), 76–83. https://doi.org/10.1109/MIC.2019.2935800 /ref/Wang, X., Gu, B., Ren, Y., Ye, W., Yu, S., Xiang, Y., & Gao, L. (2019). A Fog-based Recommender System. IEEE Internet of Things Journal, 1–1. https://doi.org/10.1109/JIOT.2019.2949029 /ref/Wei, X., & Wu, L. (2019). A New Proposed Sensor Cloud Architecture Based on Fog Computing for Internet of Things. 2019 International Conference on Internet of Things (IThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 615–620. https://doi.org/10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00120 /ref/Zhang, T., Jin, J., Zheng, X., & Yang, Y. (2019). Rate Adaptive Fog Service Platform for Heterogeneous IoT Applications. IEEE Internet of Things Journal, 1–1. https://doi.org/10.1109/JIOT.2019.2945328
dc.relation.uri.none.fl_str_mv	https://revistas.unab.edu.co/index.php/rcc/article/view/3894
dc.relation.references.spa.fl_str_mv	Artono, B., & Susano, E (2017). LED control system with cayenne framework for the Internet of Things (loT). JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering), 2(1), 95-100.
dc.relation.references.none.fl_str_mv	Bakhshi, Z., Rodriguez-Navas, G., & Hansson, H. (2019). Dependable Fog Computing: A Systematic Literature Review. 2019 45th Euromicro Conference on Software Engineering and AdwincetI Applications (SEAA), 395-403. https://doi.org/10.1109/SEAA.2019.00066 Homekit. (2016). Retrieved January 2, 2017, from https://www.domoticz.com/wiki/Homekit_Siri lorga, M., Feldman, L., Barton, R., Martin, M. J., Goren, N. S., & Mahmoudi, C. (2018). Fog Computing Conceptual Model. Retrieved from https:/hvww.nist.gov/publication.s/fog-computing-conceptual-model loT Eclipse. (2019). loT Developer Survey. Retrieved from Eclipse Foundation website: https://ioteclipse.org/ resourcestiot-developer-survey/iot-develoFer-survey-2019.pdf Isa, 1. S. M., Musa, M. 0. I., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2019). Energy Efficient and Resilient Infrastructure for Fog Computing Health Monitoring Applications. 2019 2131 International Conference on Transparent Optical Nenionts (ICTON), 1-5. https://doi.org/10.1109/ICTON.2019.8840438 Skala, K., Davidovic, D., Afgan, E., Sovic,1., & Soja Z. (2015). Scalable distributed computing hierarchy: Cloud, fog and dew computing. Open Journal of Cloud Computing (0,ICC), 2(1), 16-24. Tsigkanos, C., Avasalcai, C., & Dustdar, S. (2019). Architectural Considerations for Privacy on the Edge. IEEE Internes Computing, 23(4), 76-83. https://doi.org/10.1109/MIC.2019.2935800 Wang, X., Gu, B., Ren, Y., Ye, W., Yu, S., Xiang, Y., & Gao, L. (2019). A Fog-based Recommender System. IEEE Internes of Things Journal, 1-1. https://doi.m/10.1109/.110T.2019.2949029 Wei, X., & Wu, L. (2019). A New Proposed Sensor Cloud Architecture Basad on Fog Computing for Internet of Things. 2019 International Conference on Internet of Things (IThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cybeh Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 615-620. https://doi.org/10.1109/iThings/GreenCom/CPSCom/ SmartData.2019.00120 Zhang, T., Jin, J., Zheng, X., & Yang, Y. (2019). Rate Adaptive Fog Service Platform for Heterogeneous loT Applications. WEE Internes of Things Journa1,1-1.httpsildoi.org110.1109310T.2019.2945328
dc.rights.none.fl_str_mv	Derechos de autor 2020 Revista Colombiana de Computación
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publisher.none.fl_str_mv	Universidad Autónoma de Bucaramanga UNAB
dc.source.none.fl_str_mv	Revista Colombiana de Computación; Vol. 21 Núm. 1 (2020): Revista Colombiana de Computación; 6-12
institution	Universidad Autónoma de Bucaramanga - UNAB
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spelling	Pinzón Castellanos, Javier93fe4f90-4771-4041-8d21-2ebbe29e540aCadena Carter, Miguel Antonio4d57d6e9-c561-4668-b8ac-05f5d50e399bPinzón Castellanos, Javier [0000045298]Cadena Carter, Miguel Antonio [0000068845]Pinzón Castellanos, Javier [s0csHZMAAAAJ]Pinzón Castellanos, Javier [0000-0003-3956-5749]Cadena Carter, Miguel Antonio [0000-0002-0159-4889]Pinzón Castellanos, Javier [Javier-Pinzon-Castellanos]Cadena Carter, Miguel Antonio [miguel-antonio-cadena-carter-17553215]2020-10-27T00:19:53Z2020-10-27T00:19:53Z2020-06-012539-21151657-2831http://hdl.handle.net/20.500.12749/8818instname:Universidad Autónoma de Bucaramanga UNABrepourl:https://repository.unab.edu.co10.29375/25392115.3894Fog Computing es la capa de computacien distribuida mss proxima al usuario. Una arquitectura fog exitosa permite reducir el rerardo o latencia y aumenta la eficiencia. En este articulo se expone el desarrollo e implementación de una arquitectura de computation distribuida, aplicada a un entomo de automatización que aprovecha el Fog Computing como intermediario con la capa de computación en la nube. El estudio utilice una plata de desarrollo Raspberry Pi V3 conecrada a elementos finales de control como servomotor y reles, indicadores y sensores térmicos. Todo controlado por un framework de automatization que recibe las erdenes de Sid, las cuales son ejecutadas por medio de instrucciones previamente determinadas. La conexión a la nube se beneficia al reducirse el envió de datos ya que ahora solo se recibe la información relevante pare su análisis.Fog Computing is the distributed computing layer closest to the user. A successful fog architecture reduces delay or latency and increases efficiency. This article exposes the development and implementation of a distributed computing architecture, applied to an automation environment that takes advantage of Fog Computing as an intermediary with the cloud computing layer. The study uses a Raspberry Pi V3 development platform connected to final control elements such as servomotor and relays, indicators and thermal sensors. All controlled by an automation framework that receives Sid's orders, which are executed by means of previously determined instructions. The connection to the cloud benefits by reducing the sending of data since now only the relevant information is received for its analysis.application/pdfengUniversidad Autónoma de Bucaramanga UNABhttps://revistas.unab.edu.co/index.php/rcc/article/view/3894/3248/ref/Artono, B., & Susanto, F. (2017). LED control system with cayenne framework for the Internet of Things (IoT). JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering), 2(1), 95–100./ref/Bakhshi, Z., Rodriguez-Navas, G., & Hansson, H. (2019). Dependable Fog Computing: A Systematic Literature Review. 2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 395–403. https://doi.org/10.1109/SEAA.2019.00066/ref/Homekit. (2016). Retrieved January 2, 2017, from https://www.domoticz.com/wiki/Homekit_Siri/ref/Iorga, M., Feldman, L., Barton, R., Martin, M. J., Goren, N. S., & Mahmoudi, C. (2018). Fog Computing Conceptual Model. Retrieved from https://www.nist.gov/publications/fog-computing-conceptual-model/ref/IoT Eclipse. (2019). IoT Developer Survey. Retrieved from Eclipse Foundation website: https://iot.eclipse.org/resources/iot-developer-survey/iot-developer-survey-2019.pdf/ref/Isa, I. S. M., Musa, M. O. I., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2019). Energy Efficient and Resilient Infrastructure for Fog Computing Health Monitoring Applications. 2019 21st International Conference on Transparent Optical Networks (ICTON), 1–5. https://doi.org/10.1109/ICTON.2019.8840438/ref/Skala, K., Davidovic, D., Afgan, E., Sovic, I., & Sojat, Z. (2015). Scalable distributed computing hierarchy: Cloud, fog and dew computing. Open Journal of Cloud Computing (OJCC), 2(1), 16–24./ref/Tsigkanos, C., Avasalcai, C., & Dustdar, S. (2019). Architectural Considerations for Privacy on the Edge. IEEE Internet Computing, 23(4), 76–83. https://doi.org/10.1109/MIC.2019.2935800/ref/Wang, X., Gu, B., Ren, Y., Ye, W., Yu, S., Xiang, Y., & Gao, L. (2019). A Fog-based Recommender System. IEEE Internet of Things Journal, 1–1. https://doi.org/10.1109/JIOT.2019.2949029/ref/Wei, X., & Wu, L. (2019). A New Proposed Sensor Cloud Architecture Based on Fog Computing for Internet of Things. 2019 International Conference on Internet of Things (IThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 615–620. https://doi.org/10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00120/ref/Zhang, T., Jin, J., Zheng, X., & Yang, Y. (2019). Rate Adaptive Fog Service Platform for Heterogeneous IoT Applications. IEEE Internet of Things Journal, 1–1. https://doi.org/10.1109/JIOT.2019.2945328https://revistas.unab.edu.co/index.php/rcc/article/view/3894Artono, B., & Susano, E (2017). LED control system with cayenne framework for the Internet of Things (loT). JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering), 2(1), 95-100.Bakhshi, Z., Rodriguez-Navas, G., & Hansson, H. (2019). Dependable Fog Computing: A Systematic Literature Review. 2019 45th Euromicro Conference on Software Engineering and AdwincetI Applications (SEAA), 395-403. https://doi.org/10.1109/SEAA.2019.00066Homekit. (2016). Retrieved January 2, 2017, from https://www.domoticz.com/wiki/Homekit_Sirilorga, M., Feldman, L., Barton, R., Martin, M. J., Goren, N. S., & Mahmoudi, C. (2018). Fog Computing Conceptual Model. Retrieved from https:/hvww.nist.gov/publication.s/fog-computing-conceptual-modelloT Eclipse. (2019). loT Developer Survey. Retrieved from Eclipse Foundation website: https://ioteclipse.org/ resourcestiot-developer-survey/iot-develoFer-survey-2019.pdfIsa, 1. S. M., Musa, M. 0. I., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2019). Energy Efficient and Resilient Infrastructure for Fog Computing Health Monitoring Applications. 2019 2131 International Conference on Transparent Optical Nenionts (ICTON), 1-5. https://doi.org/10.1109/ICTON.2019.8840438Skala, K., Davidovic, D., Afgan, E., Sovic,1., & Soja Z. (2015). Scalable distributed computing hierarchy: Cloud, fog and dew computing. Open Journal of Cloud Computing (0,ICC), 2(1), 16-24.Tsigkanos, C., Avasalcai, C., & Dustdar, S. (2019). Architectural Considerations for Privacy on the Edge. IEEE Internes Computing, 23(4), 76-83. https://doi.org/10.1109/MIC.2019.2935800Wang, X., Gu, B., Ren, Y., Ye, W., Yu, S., Xiang, Y., & Gao, L. (2019). A Fog-based Recommender System. IEEE Internes of Things Journal, 1-1. https://doi.m/10.1109/.110T.2019.2949029Wei, X., & Wu, L. (2019). A New Proposed Sensor Cloud Architecture Basad on Fog Computing for Internet of Things. 2019 International Conference on Internet of Things (IThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cybeh Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 615-620. https://doi.org/10.1109/iThings/GreenCom/CPSCom/ SmartData.2019.00120Zhang, T., Jin, J., Zheng, X., & Yang, Y. (2019). Rate Adaptive Fog Service Platform for Heterogeneous loT Applications. WEE Internes of Things Journa1,1-1.httpsildoi.org110.1109310T.2019.2945328Derechos de autor 2020 Revista Colombiana de Computaciónhttp://creativecommons.org/licenses/by-nc-sa/4.0/http://creativecommons.org/licenses/by-nc-nd/2.5/co/Attribution-NonCommercial-ShareAlike 4.0 Internationalhttp://purl.org/coar/access_right/c_abf2Revista Colombiana de Computación; Vol. 21 Núm. 1 (2020): Revista Colombiana de Computación; 6-12Fog ComputingCloud ComputingInternet de las CosasComputación distribuidaCasa inteligenteFog ComputingCloud ComputingInternet of ThingsDistributed ComputingSmart homeTechnological innovationsComputer scienceTechnology developmentSystems engineeringInvestigationsInformation and communication technologiesInnovaciones tecnológicasCiencias de la computaciónIngeniería de sistemasInvestigacionesTecnologías de la información y la comunicaciónInternet de las cosasComputación distribuidaCasa inteligenteDesarrollo tecnológicoFog Computing en el contexto de Smart Home, asistente de voz y el futuro de IoTFog Computing in the context of Smart Home, voice assistant and the future of IoTinfo:eu-repo/semantics/articleArtículohttp://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/redcol/resource_type/CJournalArticleTHUMBNAIL2020_Articulo_Fog Computing en el contexto de Smart Home asistente de voz y el futuro de IoT.pdf.jpg2020_Articulo_Fog Computing en el contexto de Smart Home asistente de voz y el futuro de IoT.pdf.jpgIM Thumbnailimage/jpeg9703https://repository.unab.edu.co/bitstream/20.500.12749/8818/2/2020_Articulo_Fog%20Computing%20en%20el%20contexto%20de%20Smart%20Home%20asistente%20de%20voz%20y%20el%20futuro%20de%20IoT.pdf.jpg2b272df989471ef5e184c9ec1a149565MD52open accessORIGINAL2020_Articulo_Fog Computing en el contexto de Smart Home asistente de voz y el futuro de IoT.pdf2020_Articulo_Fog Computing en el contexto de Smart Home asistente de voz y el futuro de IoT.pdfArtículoapplication/pdf904185https://repository.unab.edu.co/bitstream/20.500.12749/8818/1/2020_Articulo_Fog%20Computing%20en%20el%20contexto%20de%20Smart%20Home%20asistente%20de%20voz%20y%20el%20futuro%20de%20IoT.pdf0ae2e756c8079790e912d6de33979353MD51open access20.500.12749/8818oai:repository.unab.edu.co:20.500.12749/88182024-01-11 14:15:51.063open accessRepositorio Institucional \| Universidad Autónoma de Bucaramanga - UNABrepositorio@unab.edu.co

Fog Computing en el contexto de Smart Home, asistente de voz y el futuro de IoT

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