A federated content distribution system to build health data synchronization services
| Autor: | Jesus Carretero, Diana Carrizales-Espinoza, J.L. Gonzalez-Compean, Dante D. Sanchez-Gallegos |
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| Přispěvatelé: | Comunidad de Madrid, Agencia Estatal de Investigación (España) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
organizations
Informática Information privacy data privacy Computer science 020206 networking & telecommunications Context (language use) 02 engineering and technology security Data preparation Health data Shared resource World Wide Web Content distribution Synchronization (computer science) Scalability 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing ontologies hospitals synchronization scalability |
| Zdroj: | e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid instname PDP |
| Popis: | In organizational environments, such as in hospitals, data have to be processed, preserved, and shared with other organizations in a cost-efficient manner. Moreover, organizations have to accomplish different mandatory non-functional requirements imposed by the laws, protocols, and norms of each country. In this context, this paper presents a Federated Content Distribution System to build infrastructure-agnostic health data synchronization services. In this federation, each hospital manages local and federated services based on a pub/sub model. The local services manage users and contents (i.e., medical imagery) inside the hospital, whereas federated services allow the cooperation of different hospitals sharing resources and data. Data preparation schemes were implemented to add non-functional requirements to data. Moreover, data published in the content distribution system are automatically synchronized to all users subscribed to the catalog where the content was published. This work has been partially supported by the grant “CABAHLA-CM: Convergencia Big data-Hpc: de Los sensores a las Aplicaciones” (Ref: S2018/TCS-4423) of Madrid Regional Government; the Spanish Ministry of Science and Innovation Project ” New Data Intensive Computing Methods for High-End and Edge Computing Platforms (DECIDE)”. Ref. PID2019-107858GB-I00; and by the project 41756 “Plataforma tecnológica para la gestión, aseguramiento, intercambio y preservación de grandes volúmenes de datos en salud y construcción de un repositorio nacional de servicios de análisis de datos de salud” by the FORDECYT-PRONACES. |
| Databáze: | OpenAIRE |
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