Enhanced Task Scheduling for IoT-Based Healthcare Systems in Cloud Computing

B. Naga Lakshmi, Kupparamedi Chandrika, Ediga Gowri, Gangula Nagamani, Janupalli Sahithi

2025

Abstract

IoT healthcare platforms, such as wearable devices, sensors, and medical equipment, generate huge volumes of medical data that have to be processed and analysed efficiently. The current methodology of IoT healthcare systems in cloud computing faces challenges of using immense volumes of data from IoT systems, which include non-scalability, ineffectively utilized resources, and were resolved by the proposed system. The project introduces a refined task scheduling mechanism for the cloud-based IoT-assisted healthcare system. This project proposes a refined task scheduling method for cloud-based IoT healthcare systems. The suggested method ranks tasks according to their need and urgency, attempting to ensure that critical tasks remain in operation to the utmost degree of efficacy as promptly as feasible. Accomplishments of this project are better task scheduling and greater resource utilization.

Paper Citation

in Harvard Style

Lakshmi B., Chandrika K., Gowri E., Nagamani G. and Sahithi J. (2025). Enhanced Task Scheduling for IoT-Based Healthcare Systems in Cloud Computing. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 462-466. DOI: 10.5220/0013931400004919

in Bibtex Style

@conference{icrdicct`2525,
author={B. Lakshmi and Kupparamedi Chandrika and Ediga Gowri and Gangula Nagamani and Janupalli Sahithi},
title={Enhanced Task Scheduling for IoT-Based Healthcare Systems in Cloud Computing},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={462-466},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013931400004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Enhanced Task Scheduling for IoT-Based Healthcare Systems in Cloud Computing
SN - 978-989-758-777-1
AU - Lakshmi B.
AU - Chandrika K.
AU - Gowri E.
AU - Nagamani G.
AU - Sahithi J.
PY - 2025
SP - 462
EP - 466
DO - 10.5220/0013931400004919
PB - SciTePress