CLOUD-BASED E-HEALTH MULTIMEDIA FRAMEWORK FOR HETEROGENEOUS NETWORK

There is a strong need to improve the transmission mechanism for eHealth management and multimedia services over a heterogeneous network. Both efficient mechanisms for patient health information access, and communication and delivery over various devices face challenges. Specifically, they include devices with computation and power supply limitations, and HDTV that has a high bandwidth requirement, but limited resources. Network resource limitations are mostly characterized by throughput variations, and delay or transmission errors. An adaptive bit rate of a video in multimedia health services comprise desirable key features that should be considered. In this paper, we propose and demonstrate a cloud computing framework that uses scalable video coding. This has efficient video compression that relieves heterogeneous devices when they execute heavier multimedia applications, use database storage and when delivering mobile health services over limited bandwidth resources. Simulation results show that the proposed scheme achieves a significant improvement in a PSNR-Y gain, as compared to the existing scheme.