Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare
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 procedur...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/11/4/566 |
| _version_ | 1797480880058400768 |
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| author | Swati Malik Kamali Gupta Deepali Gupta Aman Singh Muhammad Ibrahim Arturo Ortega-Mansilla Nitin Goyal Habib Hamam |
| author_facet | Swati Malik Kamali Gupta Deepali Gupta Aman Singh Muhammad Ibrahim Arturo Ortega-Mansilla Nitin Goyal Habib Hamam |
| author_sort | Swati Malik |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T22:06:32Z |
| format | Article |
| id | doaj.art-682a60eb47604e18bf8015a8da7bd9d1 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T22:06:32Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-682a60eb47604e18bf8015a8da7bd9d12023-11-23T19:39:24ZengMDPI AGElectronics2079-92922022-02-0111456610.3390/electronics11040566Intelligent Load-Balancing Framework for Fog-Enabled Communication in HealthcareSwati Malik0Kamali Gupta1Deepali Gupta2Aman Singh3Muhammad Ibrahim4Arturo Ortega-Mansilla5Nitin Goyal6Habib Hamam7Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, IndiaChitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, IndiaChitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, IndiaHigher Polytechnic School, Universidad Europea del Atlántico, C/Isabel Torres 21, 39011 Santander, SpainDepartment of Information Technology, University of Haripur, Haripur 22620, PakistanHigher Polytechnic School, Universidad Europea del Atlántico, C/Isabel Torres 21, 39011 Santander, SpainChitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, IndiaFaculty of Engineering, Université de Moncton, Moncton, NB E1A3E9, CanadaThe 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.https://www.mdpi.com/2079-9292/11/4/566fog computingload balancinghealthcarecloud computing |
| spellingShingle | Swati Malik Kamali Gupta Deepali Gupta Aman Singh Muhammad Ibrahim Arturo Ortega-Mansilla Nitin Goyal Habib Hamam Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare Electronics fog computing load balancing healthcare cloud computing |
| title | Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare |
| title_full | Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare |
| title_fullStr | Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare |
| title_full_unstemmed | Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare |
| title_short | Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare |
| title_sort | intelligent load balancing framework for fog enabled communication in healthcare |
| topic | fog computing load balancing healthcare cloud computing |
| url | https://www.mdpi.com/2079-9292/11/4/566 |
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