Abstract
Efficient Handling of Medical Data Classification in Cloud-Edge Network using Optimization Algorithm
Highlights
The Internet-of-Things (IoT) is the way of developing and forming Internet-coupled things utilizing computer systems
The aim of Lion Optimization Algorithm (LOA) (Yazdani and Jolai, 2016) is to learn these determining factors for other edge devices and to find the optimal set of characteristics. Based on these optimized factors, the cloud server decides which task of fuzzy Deep Neural Network (DNN) will be executed at the edge device and which task fuzzy DNN will be implemented at the cloud nodes
The edge devices were built with fuzzy DNNs via assessing the computational intensity and latency
Summary
The Internet-of-Things (IoT) is the way of developing and forming Internet-coupled things utilizing computer systems. It is improved to have many fewer effective systems like a wrist band, air-conditioner, etc Such improved IoT items include technical reasoning capabilities for performing distributed tasks without the need for a name or individuality (Gokhale et al, 2018; Hassan et al, 2020; Shah et al, 2019). Cloud or edge computing gets support from IoT technology through enhancing the possibility to manage the present world and distribute several innovative facilities in a dynamic and dispersed way. The mixture of cloud/edge and IoT-based web use is effective compared to the classic cloud-based systems. Such mixed technology will be used in applications such as healthcare (Dang et al, 2019), defence (Fraga-Lamas et al, 2016) and financial services (Asadi et al, 2017). The forecasting system is designed by merging these technologies to efficiently forecast the patient’s information, even at a remote location, which is helpful for doctors
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