Mobile Cloud Computing in Healthcare Using Dynamic Cloudlets for Energy-Aware Consumption
Manoj Muniswamaiah, Charles Tappert

TL;DR
This paper introduces DEMCCM, a dynamic cloudlet-based model designed to reduce energy consumption in healthcare mobile cloud computing, addressing bandwidth and capacity challenges to improve efficiency.
Contribution
The paper proposes a novel dynamic cloudlet model (DEMCCM) that effectively reduces energy consumption in healthcare mobile cloud computing environments.
Findings
DEMCCM reduces energy consumption in healthcare MCC applications.
Dynamic cloudlets improve response times and reduce latency.
Enhanced energy efficiency benefits healthcare professionals and patient care.
Abstract
Mobile cloud computing (MCC) has increasingly been adopted in healthcare industry by healthcare professionals (HCPs) which has resulted in the growth of medical software applications for these platforms. There are different applications which help HCPs with many important tasks. Mobile cloud computing has helped HCPs in better decision making and improved patient care. MCC enables users to acquire the benefit of cloud computing services to meet the healthcare demands. However, the restrictions posed by network bandwidth and mobile device capacity has brought challenges with respect to energy consumption and latency delays. In this paper we propose dynamic energy consumption mobile cloud computing model (DEMCCM) which addresses the energy consumption issue by healthcare mobile devices using dynamic cloudlets.
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