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Nature-Inspired Load Balancing Approach in Cloud Computing Environment for Smart Healthcare

Published: 30 May 2023 Publication History

Abstract

The development of a fast-response, a smart healthcare system that makes use of fog computing and the internet of things is of paramount importance at present time. Managing the ever-increasing load on fog nodes can be especially challenging in dynamic and diverse fog networks due to the high potential for overhead. As the number and variety of IoT-based devices grow, so ensure their processing requirements, and this is where fog computing comes in. The use of sensor-based technologies helps intelligent medical services operate, as well as the system's ability to automatically gather and process data can help to accelerate the entire platform's performance. The research formulated here introduces a novel framework for smart health care, in which a set of procedures are carried out with the primary goal of decreasing delay and performance issues. The Ant Colony Optimization Technique is a nature-inspired technique utilized to improve system efficiency by balancing loads, decreasing response times, and minimizing delay. In this research, we have proposed an approach for fog-assisted smart healthcare systems that is superior to the state-of-the-art in all of these important metrics: latency, response time, overall system accuracy, and system stability.

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Cited By

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  • (2024)The applications of nature‐inspired algorithms in Internet of Things‐based healthcare serviceTransactions on Emerging Telecommunications Technologies10.1002/ett.496935:6Online publication date: 21-May-2024
  • (2023)The Future of Healthcare: A Machine Learning Revolution2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)10.1109/ICAIIHI57871.2023.10489320(1-6)Online publication date: 29-Dec-2023
  • (2023)Helping Hand Platform for the Students to Provide Multiple Services: Using Web Development2023 International Conference on Computer Science and Emerging Technologies (CSET)10.1109/CSET58993.2023.10346715(1-6)Online publication date: 10-Oct-2023

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  1. Nature-Inspired Load Balancing Approach in Cloud Computing Environment for Smart Healthcare

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    ICIMMI '22: Proceedings of the 4th International Conference on Information Management & Machine Intelligence
    December 2022
    749 pages
    ISBN:9781450399937
    DOI:10.1145/3590837
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 30 May 2023

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    Author Tags

    1. Cloud Computing
    2. Fog computing
    3. IoT
    4. Load balancing
    5. Smart health care

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    Cited By

    View all
    • (2024)The applications of nature‐inspired algorithms in Internet of Things‐based healthcare serviceTransactions on Emerging Telecommunications Technologies10.1002/ett.496935:6Online publication date: 21-May-2024
    • (2023)The Future of Healthcare: A Machine Learning Revolution2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)10.1109/ICAIIHI57871.2023.10489320(1-6)Online publication date: 29-Dec-2023
    • (2023)Helping Hand Platform for the Students to Provide Multiple Services: Using Web Development2023 International Conference on Computer Science and Emerging Technologies (CSET)10.1109/CSET58993.2023.10346715(1-6)Online publication date: 10-Oct-2023

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