Optimal Big Data Sharing Approach for Tele-Health in Cloud Computing

The rapid development of tele-health systems have received driving engagements from various emerging techniques, such as big data and cloud computing. Sharing data among multiple tele-health systems is an adaptive approach for improving service quality via the network-based technologies. However, current implementations of data sharing in cloud computing is still facing the restrictions caused by the networking capacities and virtual machine switches. In this paper, we focus on the problem of data sharing obstacles in cloud computing and propose an approach that uses dynamic programming to produce optimal solutions to data sharing mechanisms. The proposed approach is called Optimal Telehealth Data Sharing Model (OTDSM), which considers transmission probabilities, maximizing network capacities, and timing constraints. Our experimental results have proved the flexibility and adoptability of the proposed method.