98316 20210126103232.0 sideral 122033 ART-2019-122033 eng (orcid)0000-0002-6584-7259 Álvarez, P. Universidad de Zaragoza A cloud-based parallel system for locating customers in indoor malls 2019 Access copy available to the general public Unrestricted Advances in techniques of locating mobile users have promoted the development of marketing campaigns based on customers’ location. WiFi-based location methods have proven their usefulness in tracking and locating customers within a indoor mall. Nevertheless, in some cases the performance of these methods prevents them from being used in real scenarios. In this paper, we have faced the problem of improving the execution time and reducing the cost of one of these WiFi-based location methods. Parallel programming techniques, service-oriented technologies and the cloud computing paradigm have been combined to solve efficiently these problems. The resulting system has been deployed in the Amazon EC2 environment, evaluating different configuration and deployment options. info:eu-repo/grantAgreement/ES/MINECO/TIN2017-84796-C2-2-R info:eu-repo/grantAgreement/ES/UZ/JIUZ-2018-TEC-04 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 0.177 2019 Computer Science (miscellaneous) 2019 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Hernández, N. (orcid)0000-0001-5549-7649 Fabra, J. Universidad de Zaragoza Ocaña, M. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 2498 (2019), 109-116 CEUR workshop proc. CEUR Workshop Proceedings 1613-0073 http://ceur-ws.org/Vol-2498/short15.pdf Texto completo de la revista 158948 http://zaguan.unizar.es/record/98316/files/texto_completo.pdf Versión publicada 1504488 http://zaguan.unizar.es/record/98316/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:98316 articulos driver 2021-01-26-09:28:56 ARTICLE