Cloud computing; cyber physical systems; deep learning; healthcare; Internet of Things (IoT); task scheduling; Cloud-computing; Cybe-physical systems; Cyber-physical systems; Deep learning; Features extraction; Healthcare; Internet of thing; Resources utilizations; Social media; Tasks scheduling; Control and Systems Engineering; Computer Science Applications; Computer Networks and Communications; Medical services; Task analysis; Costs; Security; Feature extraction; Sensors
Abstract :
[en] Cyber-physical systems (CPS) based on cloud computing provides resources over the Internet and allow a variety of applications to be deployed to provide services for various industries. We proposed IoT-based healthcare cyber-physical system that provides effective resource utilization at fog and cloud levels with minimum execution cost. In addition, we also consider data from social media networking and drug review for the analysis. Furthermore, two different feature extraction approaches were applied based on data collection. Homogeneity score-based K-means clustering is used as a feature extraction and selection method for sensor data features, while text mining and sentiment analysis approach is used for social media networking and drug review data feature extraction. We proposed efficient resource utilization and cost-effective task scheduling at the Fog level and multi-objective heuristic approach Ant colony optimization task scheduling (MOHACO-TS) at cloud level. Both task scheduling algorithms focus on executing maximum task tasks in minimum time with effective resource utilization. We consider five different datasets and existing task scheduling and classification approaches for performance evaluation of the proposed IoT-HCPS framework. From the results, it is evident that the proposed work IoT-HCPS outperformed the exisitng techniques and algorithms.
Disciplines :
Computer science
Author, co-author :
NAGARAJAN, Senthil Murugan ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Mathematics (DMATH)
Devarajan, Ganesh Gopal ; SRM Institute of Science and Technology, Department of Computer Science and Engineering, Ghaziabad, India
Mohammed, Amin Salih; Salahaddin University, Department of Software and Informatics Engineering, Erbil, Iraq ; Lebanese French University, Department of Computer Engineering, Erbil, Iraq
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