Central to the vision of Smart City is the realization of efficient models that are capable of handling massive amounts of mobile multimedia data in the city's eco-system. Despite the improvement in hardware of mobile devices, challenges associated with analyzing, managing, and sharing of data still exist. As such, the responsiveness to real time applications and bandwidth and wireless constraints cannot be achieved by hardware design only. Therefore, there is a move towards the software side that is enabled by Mobile Cloud Computing to overcome these challenges, whereby parts of mobile applications are executed in remote servers with rich computational resources. This technology decreases the load on mobile devices and increases their performance. Several models have been proposed to increase mobile devices performance. This paper explores these models and compares them based on several performance parameters, including computation offloading, latency, bandwidth, and response time.

Additional Metadata
Keywords Application models, Computation offloading, Mobile cloud performance models, Mobile services, Multimedia mobile cloud
Persistent URL dx.doi.org/10.1109/ICMEW.2016.7574721
Conference 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016
Rawashdeh, M. (Majdi), Alnusair, A. (Awny), Mustafa, N. (Nasser), & Migdadi, M. (Mahmoud). (2016). Multimedia Mobile Cloud Computing: Application models for performance enhancement. In 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016. doi:10.1109/ICMEW.2016.7574721