Background & Objective:
Multimedia aggregates various types of media such as audio,
video, images, animations, etc., to form a rich media content which produces an everlasting effect in
the minds of the people.
Methods:
In order to process multimedia applications using mobile devices, we encounter a big challenge
as these devices have limited resources and power. To address these limitations, in this work, we
have proposed an efficient approach named as mMedia, wherein multimedia applications will utilize
the multi cloud environment using Mobile Cloud Computing (MCC), for faster processing. The proposed
approach selects the best available network. The authors have also considered using the Lyapunov
optimization technique for efficient transmission between the mobile device and the cloud.
Results:
The simulation results indicate that mMedia can be useful for various multimedia applications
by considering the energy delay tradeoff decision.
Conclusion:
The results have been compared alongside the base algorithm SALSA on the basis of different
parameters like time average queue backlog, delay and time average utility and indicate that the
mMedia outperforms in all the aspects.
Delay - aware bandwidth estimation and intelligent video transcoder in mobile cloud
