relation: http://repositorio.uneatlantico.es/id/eprint/650/ canonical: http://repositorio.uneatlantico.es/id/eprint/650/ title: Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare creator: Malik, Swati creator: Gupta, Kamali creator: Gupta, Deepali creator: Singh, Aman creator: Ibrahim, Muhammad creator: Ortega-Mansilla, Arturo creator: Goyal, Nitin creator: Hamam, Habib subject: Ingeniería description: 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 type: Artículo type: PeerReviewed format: text language: en rights: cc_by_4 identifier: http://repositorio.uneatlantico.es/id/eprint/650/1/electronics-11-00566.pdf identifier: 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 relation: http://doi.org/10.3390/electronics11040566 relation: doi:10.3390/electronics11040566 language: en