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...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Swati Malik [verfasserIn] Kamali Gupta [verfasserIn] Deepali Gupta [verfasserIn] Aman Singh [verfasserIn] Muhammad Ibrahim [verfasserIn] Arturo Ortega-Mansilla [verfasserIn] Nitin Goyal [verfasserIn] Habib Hamam [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	fog computing load balancing healthcare cloud computing

Übergeordnetes Werk:	In: Electronics - MDPI AG, 2013, 11(2022), 4, p 566
Übergeordnetes Werk:	volume:11 ; year:2022 ; number:4, p 566

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/electronics11040566

Katalog-ID:	DOAJ030366720

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language	English
source	In Electronics 11(2022), 4, p 566 volume:11 year:2022 number:4, p 566
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topic_facet	fog computing load balancing healthcare cloud computing Electronics
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authorswithroles_txt_mv	Swati Malik @@aut@@ Kamali Gupta @@aut@@ Deepali Gupta @@aut@@ Aman Singh @@aut@@ Muhammad Ibrahim @@aut@@ Arturo Ortega-Mansilla @@aut@@ Nitin Goyal @@aut@@ Habib Hamam @@aut@@
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topic_title	TK7800-8360 Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare fog computing load balancing healthcare cloud computing
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title	Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare
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title_sort	intelligent load-balancing framework for fog-enabled communication in healthcare
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title_auth	Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare
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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare
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