UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities

By Thaha Muhammed, Rashid Mehmood, Aiiad Ahmad Albeshri, Iyad A. Katib. 2018

197 citations recorded by the source corpus.

Smart city advancements are driving massive transformations of healthcare, the largest global industry. The drivers include increasing demands for ubiquitous, preventive, and personalized healthcare, to be provided to the public at reduced risks and costs. Mobile cloud computing could potentially meet the future healthcare demands by enabling anytime, anywhere capture and analyses of patients’ data. However, network latency, bandwidth, and reliability are among the many challenges hindering the realization of next-generation healthcare. This paper proposes a ubiquitous healthcare framework, UbeHealth, that leverages edge computing, deep learning, big data, high-performance computing (HPC), and the Internet of Things (IoT) to address the aforementioned challenges. The framework enables an enhanced network quality of service using its three main components and four layers. Deep learning, big data, and HPC are used to predict network traffic, which in turn are used by the Cloudlet and network layers to optimize data rates, data caching, and routing decisions. Application protocols of the traffic flows are classified, enabling the network layer to meet applications’ communication requirements better and to detect malicious traffic and anomalous data. Clustering is used to identify the different kinds of data originating from the same application protocols. A proof of concept UbeHealth system has been developed based on the framework. A detailed literature review is used to capture the design requirements for the proposed system. The system is described in detail including the algorithmic implementation of the three components and four layers. Three widely used data sets are used to evaluate the UbeHealth system.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

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In Computer Networks and Communications

  1. Xu Chen
  2. Zhi Zhou
  3. Qiong Wu
  4. Junshan Zhang
  5. Billy Pik Lik Lau
  6. Chau Yuen
  7. Athanasios V. Vasilakos
  8. Yuren Zhou

In Computer Vision and Pattern Recognition

  1. Xu Chen
  2. Qiong Wu
  3. Zhi Zhou
  4. Chau Yuen
  5. Athanasios V. Vasilakos
  6. Junshan Zhang
  7. Khaled Ben Letaief
  8. Jun Zhang

In Electrical and Electronic Engineering

  1. Billy Pik Lik Lau
  2. U-Xuan Tan
  3. Yuren Zhou
  4. Meng Zhang
  5. Naveed Ul L. Hassan
  6. Marakkalage Sumudu Hasala
  7. Zhi Zhou
  8. Chau Yuen

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