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
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] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Übergeordnetes Werk: |
In: Electronics - MDPI AG, 2013, 11(2022), 4, p 566 |
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Übergeordnetes Werk: |
volume:11 ; year:2022 ; number:4, p 566 |
Links: |
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DOI / URN: |
10.3390/electronics11040566 |
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Katalog-ID: |
DOAJ030366720 |
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10.3390/electronics11040566 doi (DE-627)DOAJ030366720 (DE-599)DOAJ682a60eb47604e18bf8015a8da7bd9d1 DE-627 ger DE-627 rakwb eng TK7800-8360 Swati Malik verfasserin aut Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. fog computing load balancing healthcare cloud computing Electronics Kamali Gupta verfasserin aut Deepali Gupta verfasserin aut Aman Singh verfasserin aut Muhammad Ibrahim verfasserin aut Arturo Ortega-Mansilla verfasserin aut Nitin Goyal verfasserin aut Habib Hamam verfasserin aut In Electronics MDPI AG, 2013 11(2022), 4, p 566 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:11 year:2022 number:4, p 566 https://doi.org/10.3390/electronics11040566 kostenfrei https://doaj.org/article/682a60eb47604e18bf8015a8da7bd9d1 kostenfrei https://www.mdpi.com/2079-9292/11/4/566 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 4, p 566 |
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10.3390/electronics11040566 doi (DE-627)DOAJ030366720 (DE-599)DOAJ682a60eb47604e18bf8015a8da7bd9d1 DE-627 ger DE-627 rakwb eng TK7800-8360 Swati Malik verfasserin aut Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. fog computing load balancing healthcare cloud computing Electronics Kamali Gupta verfasserin aut Deepali Gupta verfasserin aut Aman Singh verfasserin aut Muhammad Ibrahim verfasserin aut Arturo Ortega-Mansilla verfasserin aut Nitin Goyal verfasserin aut Habib Hamam verfasserin aut In Electronics MDPI AG, 2013 11(2022), 4, p 566 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:11 year:2022 number:4, p 566 https://doi.org/10.3390/electronics11040566 kostenfrei https://doaj.org/article/682a60eb47604e18bf8015a8da7bd9d1 kostenfrei https://www.mdpi.com/2079-9292/11/4/566 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 4, p 566 |
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10.3390/electronics11040566 doi (DE-627)DOAJ030366720 (DE-599)DOAJ682a60eb47604e18bf8015a8da7bd9d1 DE-627 ger DE-627 rakwb eng TK7800-8360 Swati Malik verfasserin aut Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. fog computing load balancing healthcare cloud computing Electronics Kamali Gupta verfasserin aut Deepali Gupta verfasserin aut Aman Singh verfasserin aut Muhammad Ibrahim verfasserin aut Arturo Ortega-Mansilla verfasserin aut Nitin Goyal verfasserin aut Habib Hamam verfasserin aut In Electronics MDPI AG, 2013 11(2022), 4, p 566 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:11 year:2022 number:4, p 566 https://doi.org/10.3390/electronics11040566 kostenfrei https://doaj.org/article/682a60eb47604e18bf8015a8da7bd9d1 kostenfrei https://www.mdpi.com/2079-9292/11/4/566 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 4, p 566 |
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10.3390/electronics11040566 doi (DE-627)DOAJ030366720 (DE-599)DOAJ682a60eb47604e18bf8015a8da7bd9d1 DE-627 ger DE-627 rakwb eng TK7800-8360 Swati Malik verfasserin aut Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. fog computing load balancing healthcare cloud computing Electronics Kamali Gupta verfasserin aut Deepali Gupta verfasserin aut Aman Singh verfasserin aut Muhammad Ibrahim verfasserin aut Arturo Ortega-Mansilla verfasserin aut Nitin Goyal verfasserin aut Habib Hamam verfasserin aut In Electronics MDPI AG, 2013 11(2022), 4, p 566 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:11 year:2022 number:4, p 566 https://doi.org/10.3390/electronics11040566 kostenfrei https://doaj.org/article/682a60eb47604e18bf8015a8da7bd9d1 kostenfrei https://www.mdpi.com/2079-9292/11/4/566 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2022 4, p 566 |
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Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare |
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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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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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