TY  - JOUR
IS  - 4
Y1  - 2022/02//
JF  - Electronics
N2  - 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.
UR  - http://doi.org/10.3390/electronics11040566
SN  - 2079-9292
VL  - 11
TI  - Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare
ID  - uneatlantico650
KW  - fog computing; load balancing; healthcare; cloud computing
AV  - public
A1  - Malik, Swati
A1  - Gupta, Kamali
A1  - Gupta, Deepali
A1  - Singh, Aman
A1  - Ibrahim, Muhammad
A1  - Ortega-Mansilla, Arturo
A1  - Goyal, Nitin
A1  - Hamam, Habib
ER  -