This research focuses on the development and performance evaluation of MMS framework for internet applications. The details of the architecture and algorithms employed in the MMS framework for message delivery are presented. We implement the proposed MMS framework for internet application by building a mobile telemedicine system. On the client side, we develop MMS application that implements data compression and split techniques and on the server side, we implement merge and decompression techniques. The compression and split techniques are required in order to send large-size data files which is not possible with the existing MMS technology. The proposed technique ensures that the quality of data is perserved which is critical for accomplishing the diagnosis process. The performance measure, 'Peak Signal to Noise Ratio (PSNR)' is used to evaluate the quality of data. The experimental results show that the proposed framework can be used to develop internet applications for a practical mobile telemedicine system.
['Andik Setyono', 'Md. Jahangir Alam']
Performance Evaluation of the MMS Framework for Internet Applications