eprintid: 650 rev_number: 12 eprint_status: archive userid: 2 dir: disk0/00/00/06/50 datestamp: 2022-05-06 23:56:10 lastmod: 2023-07-12 23:30:24 status_changed: 2022-05-06 23:56:10 type: article metadata_visibility: show creators_name: Malik, Swati creators_name: Gupta, Kamali creators_name: Gupta, Deepali creators_name: Singh, Aman creators_name: Ibrahim, Muhammad creators_name: Ortega-Mansilla, Arturo creators_name: Goyal, Nitin creators_name: Hamam, Habib creators_id: creators_id: creators_id: creators_id: aman.singh@uneatlantico.es creators_id: creators_id: arturo.ortega@uneatlantico.es creators_id: creators_id: title: Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare ispublished: pub subjects: uneat_eng divisions: uneatlantico_produccion_cientifica divisions: uninimx_produccion_cientifica full_text_status: public keywords: fog computing; load balancing; healthcare; cloud computing abstract: The present technological era significantly makes use of Internet-of-Things (IoT) devices for offering and implementing healthcare services. Post COVID-19, the future of the healthcare system is highly reliant upon the inculcation of Artificial-Intelligence (AI) mechanisms in its day-to-day procedures, and this is realized in its implementation using sensor-enabled smart and intelligent IoT devices for providing extensive care to patients relative to the symmetric concept. The offerings of such AI-enabled services include handling the huge amount of data processed and sensed by smart medical sensors without compromising the performance parameters, such as the response time, latency, availability, cost and processing time. This has resulted in a need to balance the load of the smart operational devices to avoid any failure of responsiveness. Thus, in this paper, a fog-based framework is proposed that can balance the load among fog nodes for handling the challenging communication and processing requirements of intelligent real-time applications. date: 2022-02 date_type: published publication: Electronics volume: 11 number: 4 pagerange: 566 id_number: doi:10.3390/electronics11040566 refereed: TRUE issn: 2079-9292 official_url: http://doi.org/10.3390/electronics11040566 access: open language: en citation: Artículo Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Producción Científica Abierto Inglés The present technological era significantly makes use of Internet-of-Things (IoT) devices for offering and implementing healthcare services. Post COVID-19, the future of the healthcare system is highly reliant upon the inculcation of Artificial-Intelligence (AI) mechanisms in its day-to-day procedures, and this is realized in its implementation using sensor-enabled smart and intelligent IoT devices for providing extensive care to patients relative to the symmetric concept. The offerings of such AI-enabled services include handling the huge amount of data processed and sensed by smart medical sensors without compromising the performance parameters, such as the response time, latency, availability, cost and processing time. This has resulted in a need to balance the load of the smart operational devices to avoid any failure of responsiveness. Thus, in this paper, a fog-based framework is proposed that can balance the load among fog nodes for handling the challenging communication and processing requirements of intelligent real-time applications. metadata Malik, Swati; Gupta, Kamali; Gupta, Deepali; Singh, Aman; Ibrahim, Muhammad; Ortega-Mansilla, Arturo; Goyal, Nitin y Hamam, Habib mail SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, aman.singh@uneatlantico.es, SIN ESPECIFICAR, arturo.ortega@uneatlantico.es, SIN ESPECIFICAR, SIN ESPECIFICAR (2022) Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare. Electronics, 11 (4). p. 566. ISSN 2079-9292 document_url: http://repositorio.uneatlantico.es/id/eprint/650/1/electronics-11-00566.pdf