A containerized service for clustering and categorization of weather records in the cloud

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dc.contributor.author Sánchez Gallegos, Dante D.
dc.contributor.author González Compean, J.L.
dc.contributor.author Alvarado Barrientos, Susana
dc.contributor.author Sosa Sosa, Victor Jesus
dc.contributor.author Vargas Tuxpan, Jose
dc.contributor.author Carretero Pérez, Jesús
dc.date.accessioned 2022-01-24T09:14:54Z
dc.date.available 2022-01-24T09:14:54Z
dc.date.issued 2018-07-11
dc.identifier.bibliographicCitation D. D. Sánchez-Gallegos, J. L. Gonzalez-Compean, S. Alvarado-Barrientos, V. J. Sosa-Sosa, J. Tuxpan-Vargas and J. Carretero, "A containerized service for clustering and categorization of weather records in the cloud," 2018 8th International Conference on Computer Science and Information Technology (CSIT), 2018, pp. 26-31, doi: 10.1109/CSIT.2018.8486198
dc.identifier.isbn 978-1-5386-4152-1
dc.identifier.uri http://hdl.handle.net/10016/33939
dc.description.abstract This paper presents a containerized service for clustering and categorization of weather records in the cloud. This service considers a scheme of microservices and containers for organizations and end-users to manage/process weather records from the acquisition, passing through the prepossessing and processing stages, to the exhibition of results. In this service, a specialized crawler acquires records that are delivered to a microservice of distributed categorization of weather records, which performs clustering of acquired data (the temperature and precipitation) by spatiotemporal parameters. The clusters found are exhibited in a map by a geoportal where statistic microservice also produce results regression graphs on-the-fly. To evaluate the feasibility of this service, a case study based on 33 years of daily records captured by the Mexican weather station network (EMAS-CONAGUA) has been conducted. Lessons learned in this study about the performance of record acquisition, clustering processing, and mapping exhibition are described in this paper. Examples of utilization of this service revealed that end-users can analyze weather parameters in an efficient, flexible and automatic manner.
dc.description.sponsorship This work was partially supported by the sectoral fund of research, technological development and innovation in space activities of the Mexican National Council of Science and Technology (CONACYT) and the Mexican Space Agency (AEM), project No.262891.
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2018, IEEE
dc.subject.other clustering
dc.subject.other weather station records
dc.subject.other workflows
dc.subject.other cloud
dc.subject.other microservices
dc.subject.other virtual containers
dc.title A containerized service for clustering and categorization of weather records in the cloud
dc.type conferenceObject
dc.subject.eciencia Informática
dc.identifier.doi https://doi.org/10.1109/CSIT.2018.8486198
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.relation.eventdate 2018-07-11
dc.relation.eventplace JORDANIA
dc.relation.eventtitle 8th International Conference on Computer Science and Information Technology (CSIT)
dc.identifier.publicationfirstpage 26
dc.identifier.publicationlastpage 31
dc.identifier.publicationtitle 2018 8th International Conference on Computer Science and Information Technology (CSIT)
dc.identifier.uxxi CC/0000028952
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