Open IoT data platform for Uniandes campus
This document proposes a software architecture for an open data platform of IoT data for the Universidad de Los Andes, Colombia. The proposed open data platform is set to be developed as part of the digital transformation of the university and targets the need for a smart campus. This software archi...
- Autores:
-
Langebaek Carrizosa, Tomás
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2022
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/66331
- Acceso en línea:
- http://hdl.handle.net/1992/66331
- Palabra clave:
- Open Data
Data Sharing
Smart Campus
IoT
Software Architecture
Ingeniería
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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UNIANDES2_9770e9c1c9355703bb1a4fc5b7d0cfa2 |
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Open IoT data platform for Uniandes campus |
| title |
Open IoT data platform for Uniandes campus |
| spellingShingle |
Open IoT data platform for Uniandes campus Open Data Data Sharing Smart Campus IoT Software Architecture Ingeniería |
| title_short |
Open IoT data platform for Uniandes campus |
| title_full |
Open IoT data platform for Uniandes campus |
| title_fullStr |
Open IoT data platform for Uniandes campus |
| title_full_unstemmed |
Open IoT data platform for Uniandes campus |
| title_sort |
Open IoT data platform for Uniandes campus |
| dc.creator.fl_str_mv |
Langebaek Carrizosa, Tomás |
| dc.contributor.advisor.none.fl_str_mv |
Garcés Pernett, Kelly Johany |
| dc.contributor.author.none.fl_str_mv |
Langebaek Carrizosa, Tomás |
| dc.contributor.researchgroup.es_CO.fl_str_mv |
Software Evolution Lab |
| dc.subject.keyword.none.fl_str_mv |
Open Data Data Sharing Smart Campus IoT Software Architecture |
| topic |
Open Data Data Sharing Smart Campus IoT Software Architecture Ingeniería |
| dc.subject.themes.es_CO.fl_str_mv |
Ingeniería |
| description |
This document proposes a software architecture for an open data platform of IoT data for the Universidad de Los Andes, Colombia. The proposed open data platform is set to be developed as part of the digital transformation of the university and targets the need for a smart campus. This software architecture aims to integrate data collected from IoT devices across campus to make it available for download to students, researchers, and professors. Incorporating insights from a systematic literature review, key quality attributes were identified for the later proposal of a compli ant software architecture. Integration of core components of the architecture demonstrates the feasibility of the design for extract ing, transforming, and mapping heterogeneous data sources into a common data format for later use. Additionally, the proposed graphic user interface design is shown. |
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2022-12 |
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2023-04-25T13:04:35Z |
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2023-04-25T13:04:35Z |
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Trabajo de grado - Pregrado |
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info:eu-repo/semantics/bachelorThesis |
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info:eu-repo/semantics/acceptedVersion |
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Ahmed Abdulhasan Alwan, Andres Baravalle, Mihaela Anca Ciupala, and Paolo Falcarin. 2019. An Open Source Software Architecture for Smart Buildings. In Intelligent Systems and Applications, Kohei Arai, Supriya Kapoor, and Rahul Bhatia (Eds.). Springer International Publishing, Cham, 160-169. David Angulo-Esguerra, Cesar Villate-Barrera, William Giral, Hugo Celedon Florez, A. Tatiana Zona-Ortiz, and Felipe Díaz-Sánchez. 2017. Parkurbike: An IoT-based system for bike parking occupation checking. In 2017 IEEE Colombian Conference on Communications and Computing (COLCOM). 1-5. https://doi.org/ 10.1109/ColComCon.2017.8088201 Heiko Bornholdt. 2021. Towards Citizen-Centric Marketplaces for Urban Sensed Data. In Advances in Service-Oriented and Cloud Computing, Christian Zirpins, Iraklis Paraskakis, Vasilios Andrikopoulos, Nane Kratzke, Claus Pahl, Nabil El Ioini, Andreas S. Andreou, George Feuerlicht, Winfried Lamersdorf, Guadalupe Ortiz, Willem-Jan Van den Heuvel, Jacopo Soldani, Massimo Villari, Giuliano Casale, and Pierluigi Plebani (Eds.). Springer International Publishing, Cham, 140-150. Raf Buyle, Brecht Van de Vyvere, Julián Rojas Meléndez, Dwight Van Lancker, Eveline Vlassenroot, Mathias Van Compernolle, Stefan Lefever, Pieter Colpaert, Peter Mechant, and Erik Mannens. 2021. A Sustainable Method for Publishing Interoperable Open Data on the Web. Data 6, 8 (2021). https://doi.org/10.3390/ data6080093 Dimitris Charitos, Iouliani Theona, Penny Papageorgopoulou, Antonios Psaltis, Antonios Korosidis, Dimitris Delinikolas, Alexandros Drymonitis, Natalia Ar senopoulou, and Charalampos Rizopoulos. 2019. ATHsENSe: An Experiment in Translating Urban Data to Multisensory Immersive Artistic Experiences in Public Space. In Ambient Intelligence, Ioannis Chatzigiannakis, Boris De Ruyter, and Irene Mavrommati (Eds.). Springer International Publishing, Cham, 283-295. Dimitris Charitos, Iouliani Theona, Penny Papageorgopoulou, Antonios Psaltis, Antonios Korosidis, Dimitris Delinikolas, Alexandros Drymonitis, Natalia Ar senopoulou, and Charalampos Rizopoulos. 2019. ATHsENSe: An Experiment in Translating Urban Data to Multisensory Immersive Artistic Experiences in Public Space. In Ambient Intelligence, Ioannis Chatzigiannakis, Boris De Ruyter, and Irene Mavrommati (Eds.). Springer International Publishing, Cham, 283-295 Paloma Cáceres, Almudena Sierra-Alonso, Carlos E. Cuesta, Belen Vela, and José maría Cavero Barca. 2020. Improving Urban Mobility by Defining a Smart Data Integration Platform. IEEE Access 8 (2020), 204094-204113. https://doi.org/ 10.1109/ACCESS.2020.3033584 S. de los Ríos Pérez, M. Páramo Castrillo, P. Abril-Jimenez, J. B. Montalvá-Colomer, M. F. Cabrera-Umpiérrez, and M.T. Arredondo Waldmeyer. 2017. An architecture for combining open-data with sensors data for effective prevention of MCI and frailty in elderly people. In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI). 1-5. https://doi.org/10.1109/RTSI. 2017.8065977 Dieter De Paepe, Sander Vanden Hautte, Bram Steenwinckel, Pieter Moens, Jasper Vaneessen, Steven Vandekerckhove, Bruno Volckaert, Femke Ongenae, and Sofie Van Hoecke. 2021. A Complete Software Stack for IoT Time-Series Analysis that Combines Semantics and Machine Learningmdash;Lessons Learned from the Dyversify Project. Applied Sciences 11, 24 (2021). https://doi.org/10.3390/ app112411932 Ursula Eicker, Juergen Schumacher, Verena Weiler, and Reiner Braun. 2019. On The Design Of An Urban Modeling Platform And Its Application For A New York District Analysis. In Proceedings of Building Simulation 2019: 16th Conference of IBPSA (Building Simulation), Vol. 16. IBPSA, Rome, Italy, 3508-3515. https: //doi.org/10.26868/25222708.2019.210686 Bokolo Anthony Jnr, Sobah Abbas Petersen, Dirk Ahlers, and John Krogstie. 2020. API deployment for big data management towards sustainable energy prosumption in smart cities-a layered architecture perspective. International Journal of Sustainable Energy 39, 3 (2020), 263-289. https://doi.org/10.1080/ 14786451.2019.1684287 arXiv:https://doi.org/10.1080/14786451.2019.1684287 Barbara A. Kitchenham. 2004. Procedures for Performing Systematic Reviews Philipp Lammel, Benjamin Dittwald, Lina Bruns, Nikolay Tcholtchev, Yuri Glik man, Silke Cuno, Mathias Flügge, and Ina Schieferdecker. 2020. Metadata Harvest ing and Quality Assurance within Open Urban Platforms. J. Data and Information Quality 12, 4, Article 22 (oct 2020), 20 pages. https://doi.org/10.1145/3409795 Laboratório de Pesquisa em engenharia de Software LAPES. [n. d.]. StArt. http: //lapes.dc.ufscar.br/tools/start_tool Kang-Pyo Lee, Spencer J. Kuhl, Henry J. Bockholt, Benjamin P. Rogers, and Daniel A. Reed. 2018. A Cloud-Based Scientific Gateway for Internet of Things Data Analytics. In Proceedings of the Practice and Experience on Advanced Research Computing (PEARC 18). Association for Computing Machinery, New York, NY, USA, Article 34, 8 pages. https://doi.org/10.1145/3219104.3219123 Ahmed Mostefaoui, Mohammed Amine Merzoug, Amir Haroun, Anthony Nassar, and François Dessables. 2022. Big Data Architecture for Connected Vehicles: Feedback and Application Examples from an Automotive Group. Future Gener. Comput. Syst. 134, C (sep 2022), 374-387. https://doi.org/10.1016/j.future.2022. 04.020 Rubén Mulero, Aitor Almeida, Gorka Azkune, Patricia Abril-Jiménez, Maria Teresa Arredondo Waldmeyer, Miguel Páramo Castrillo, Luigi Patrono, Piercosimo Rametta, and Ilaria Sergi. 2018. An IoT-Aware Approach for Elderly Friendly Cities. IEEE Access 6 (2018), 7941-7957. https://doi.org/10.1109/ACCESS. 2018.2800161 André Pomp, Alexander Paulus, Andreas Burgdorf, and Tobias Meisen. 2021. A Semantic Data Marketplace for Easy Data Sharing within a Smart City. In Proceedings of the 30th ACM International Conference on Information Knowledge Management (CIKM 21). Association for Computing Machinery, New York, NY, USA, 4774-4778. https://doi.org/10.1145/3459637.348199 Yuming Qian, Zhicheng Liu, Junyan Yang, and Qiao Wang. 2018. A Method of Exchanging Data in Smart City by Blockchain. In 2018 IEEE 20th Interna tional Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Confer ence on Data Science and Systems (HPCC/SmartCity/DSS). 1344-1349. https: //doi.org/10.1109/HPCC/SmartCity/DSS.2018.00223 Pablo Sotres, Juan Ramón Santana, Luis Sánchez, Jorge Lanza, and Luis Muñoz. 2017. Practical Lessons From the Deployment and Management of a Smart City Internet-of-Things Infrastructure: The SmartSantander Testbed Case. IEEE Access 5 (2017), 14309-14322. https://doi.org/10.1109/ACCESS.2017.2723659 Daniele Strigaro, Massimiliano Cannata, and Milan Antonovic. 2019. Boosting a Weather Monitoring System in Low Income Economies Using Open and Non Conventional Systems: Data Quality Analysis. Sensors 19, 5 (2019). https: //doi.org/10.3390/s19051185 Elena Sánchez-Nielsen, Alejandro Morales, Omar Mendo, and Francisco Chávez Gutiérrez. 2021. SuDaMa: Sustainable Open Government Data Management Framework for Long-Term Publishing and Consumption. IEEE Access 9 (2021), 151841-151863. https://doi.org/10.1109/ACCESS.2021.3127472 |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Garcés Pernett, Kelly Johanyvirtual::10706-1Langebaek Carrizosa, Tomás36e200b0-1154-4974-8dcb-22ee0790ccd5600Software Evolution Lab2023-04-25T13:04:35Z2023-04-25T13:04:35Z2022-12http://hdl.handle.net/1992/66331instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/This document proposes a software architecture for an open data platform of IoT data for the Universidad de Los Andes, Colombia. The proposed open data platform is set to be developed as part of the digital transformation of the university and targets the need for a smart campus. This software architecture aims to integrate data collected from IoT devices across campus to make it available for download to students, researchers, and professors. Incorporating insights from a systematic literature review, key quality attributes were identified for the later proposal of a compli ant software architecture. Integration of core components of the architecture demonstrates the feasibility of the design for extract ing, transforming, and mapping heterogeneous data sources into a common data format for later use. Additionally, the proposed graphic user interface design is shown.Ingeniero de Sistemas y ComputaciónPregrado16 páginasapplication/pdfengUniversidad de los AndesIngeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería Sistemas y ComputaciónOpen IoT data platform for Uniandes campusTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1fTexthttp://purl.org/redcol/resource_type/TPOpen DataData SharingSmart CampusIoTSoftware ArchitectureIngenieríaAhmed Abdulhasan Alwan, Andres Baravalle, Mihaela Anca Ciupala, and Paolo Falcarin. 2019. An Open Source Software Architecture for Smart Buildings. In Intelligent Systems and Applications, Kohei Arai, Supriya Kapoor, and Rahul Bhatia (Eds.). Springer International Publishing, Cham, 160-169.David Angulo-Esguerra, Cesar Villate-Barrera, William Giral, Hugo Celedon Florez, A. Tatiana Zona-Ortiz, and Felipe Díaz-Sánchez. 2017. Parkurbike: An IoT-based system for bike parking occupation checking. In 2017 IEEE Colombian Conference on Communications and Computing (COLCOM). 1-5. https://doi.org/ 10.1109/ColComCon.2017.8088201Heiko Bornholdt. 2021. Towards Citizen-Centric Marketplaces for Urban Sensed Data. In Advances in Service-Oriented and Cloud Computing, Christian Zirpins, Iraklis Paraskakis, Vasilios Andrikopoulos, Nane Kratzke, Claus Pahl, Nabil El Ioini, Andreas S. Andreou, George Feuerlicht, Winfried Lamersdorf, Guadalupe Ortiz, Willem-Jan Van den Heuvel, Jacopo Soldani, Massimo Villari, Giuliano Casale, and Pierluigi Plebani (Eds.). Springer International Publishing, Cham, 140-150.Raf Buyle, Brecht Van de Vyvere, Julián Rojas Meléndez, Dwight Van Lancker, Eveline Vlassenroot, Mathias Van Compernolle, Stefan Lefever, Pieter Colpaert, Peter Mechant, and Erik Mannens. 2021. A Sustainable Method for Publishing Interoperable Open Data on the Web. Data 6, 8 (2021). https://doi.org/10.3390/ data6080093Dimitris Charitos, Iouliani Theona, Penny Papageorgopoulou, Antonios Psaltis, Antonios Korosidis, Dimitris Delinikolas, Alexandros Drymonitis, Natalia Ar senopoulou, and Charalampos Rizopoulos. 2019. ATHsENSe: An Experiment in Translating Urban Data to Multisensory Immersive Artistic Experiences in Public Space. In Ambient Intelligence, Ioannis Chatzigiannakis, Boris De Ruyter, and Irene Mavrommati (Eds.). Springer International Publishing, Cham, 283-295.Dimitris Charitos, Iouliani Theona, Penny Papageorgopoulou, Antonios Psaltis, Antonios Korosidis, Dimitris Delinikolas, Alexandros Drymonitis, Natalia Ar senopoulou, and Charalampos Rizopoulos. 2019. ATHsENSe: An Experiment in Translating Urban Data to Multisensory Immersive Artistic Experiences in Public Space. In Ambient Intelligence, Ioannis Chatzigiannakis, Boris De Ruyter, and Irene Mavrommati (Eds.). Springer International Publishing, Cham, 283-295Paloma Cáceres, Almudena Sierra-Alonso, Carlos E. Cuesta, Belen Vela, and José maría Cavero Barca. 2020. Improving Urban Mobility by Defining a Smart Data Integration Platform. IEEE Access 8 (2020), 204094-204113. https://doi.org/ 10.1109/ACCESS.2020.3033584S. de los Ríos Pérez, M. Páramo Castrillo, P. Abril-Jimenez, J. B. Montalvá-Colomer, M. F. Cabrera-Umpiérrez, and M.T. Arredondo Waldmeyer. 2017. An architecture for combining open-data with sensors data for effective prevention of MCI and frailty in elderly people. In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI). 1-5. https://doi.org/10.1109/RTSI. 2017.8065977Dieter De Paepe, Sander Vanden Hautte, Bram Steenwinckel, Pieter Moens, Jasper Vaneessen, Steven Vandekerckhove, Bruno Volckaert, Femke Ongenae, and Sofie Van Hoecke. 2021. A Complete Software Stack for IoT Time-Series Analysis that Combines Semantics and Machine Learningmdash;Lessons Learned from the Dyversify Project. Applied Sciences 11, 24 (2021). https://doi.org/10.3390/ app112411932Ursula Eicker, Juergen Schumacher, Verena Weiler, and Reiner Braun. 2019. On The Design Of An Urban Modeling Platform And Its Application For A New York District Analysis. In Proceedings of Building Simulation 2019: 16th Conference of IBPSA (Building Simulation), Vol. 16. IBPSA, Rome, Italy, 3508-3515. https: //doi.org/10.26868/25222708.2019.210686Bokolo Anthony Jnr, Sobah Abbas Petersen, Dirk Ahlers, and John Krogstie. 2020. API deployment for big data management towards sustainable energy prosumption in smart cities-a layered architecture perspective. International Journal of Sustainable Energy 39, 3 (2020), 263-289. https://doi.org/10.1080/ 14786451.2019.1684287 arXiv:https://doi.org/10.1080/14786451.2019.1684287Barbara A. Kitchenham. 2004. Procedures for Performing Systematic ReviewsPhilipp Lammel, Benjamin Dittwald, Lina Bruns, Nikolay Tcholtchev, Yuri Glik man, Silke Cuno, Mathias Flügge, and Ina Schieferdecker. 2020. Metadata Harvest ing and Quality Assurance within Open Urban Platforms. J. Data and Information Quality 12, 4, Article 22 (oct 2020), 20 pages. https://doi.org/10.1145/3409795Laboratório de Pesquisa em engenharia de Software LAPES. [n. d.]. StArt. http: //lapes.dc.ufscar.br/tools/start_toolKang-Pyo Lee, Spencer J. Kuhl, Henry J. Bockholt, Benjamin P. Rogers, and Daniel A. Reed. 2018. A Cloud-Based Scientific Gateway for Internet of Things Data Analytics. In Proceedings of the Practice and Experience on Advanced Research Computing (PEARC 18). Association for Computing Machinery, New York, NY, USA, Article 34, 8 pages. https://doi.org/10.1145/3219104.3219123Ahmed Mostefaoui, Mohammed Amine Merzoug, Amir Haroun, Anthony Nassar, and François Dessables. 2022. Big Data Architecture for Connected Vehicles: Feedback and Application Examples from an Automotive Group. Future Gener. Comput. Syst. 134, C (sep 2022), 374-387. https://doi.org/10.1016/j.future.2022. 04.020Rubén Mulero, Aitor Almeida, Gorka Azkune, Patricia Abril-Jiménez, Maria Teresa Arredondo Waldmeyer, Miguel Páramo Castrillo, Luigi Patrono, Piercosimo Rametta, and Ilaria Sergi. 2018. An IoT-Aware Approach for Elderly Friendly Cities. IEEE Access 6 (2018), 7941-7957. https://doi.org/10.1109/ACCESS. 2018.2800161André Pomp, Alexander Paulus, Andreas Burgdorf, and Tobias Meisen. 2021. A Semantic Data Marketplace for Easy Data Sharing within a Smart City. In Proceedings of the 30th ACM International Conference on Information Knowledge Management (CIKM 21). Association for Computing Machinery, New York, NY, USA, 4774-4778. https://doi.org/10.1145/3459637.348199Yuming Qian, Zhicheng Liu, Junyan Yang, and Qiao Wang. 2018. A Method of Exchanging Data in Smart City by Blockchain. In 2018 IEEE 20th Interna tional Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Confer ence on Data Science and Systems (HPCC/SmartCity/DSS). 1344-1349. https: //doi.org/10.1109/HPCC/SmartCity/DSS.2018.00223Pablo Sotres, Juan Ramón Santana, Luis Sánchez, Jorge Lanza, and Luis Muñoz. 2017. Practical Lessons From the Deployment and Management of a Smart City Internet-of-Things Infrastructure: The SmartSantander Testbed Case. IEEE Access 5 (2017), 14309-14322. https://doi.org/10.1109/ACCESS.2017.2723659Daniele Strigaro, Massimiliano Cannata, and Milan Antonovic. 2019. Boosting a Weather Monitoring System in Low Income Economies Using Open and Non Conventional Systems: Data Quality Analysis. Sensors 19, 5 (2019). https: //doi.org/10.3390/s19051185Elena Sánchez-Nielsen, Alejandro Morales, Omar Mendo, and Francisco Chávez Gutiérrez. 2021. SuDaMa: Sustainable Open Government Data Management Framework for Long-Term Publishing and Consumption. 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