Abstract: In the newly emerging mobile cloud computing paradigm, the contribution of cloud computing and mobile computing technologies lead to optimize the computation offloading of a data stream between mobile devices and cloud to achieve maximum throughput in processing the streaming data through dynamic surrogate object model. We introduce the concept of dynamic offloading of data between mobile devices and clouds which distribute a key by Dynamic Offload Algorithm (DOA) to addressing in surrogate object. This DOA is used to find the optimal off-load data between executing data streaming of an application at the mobile device and the cloud server by taking an account of the speed of mobile device, network performance and the characteristics of a data stream and the efficiency of mobile devices by using surrogate object effectively. According to our experimental analysis, by executing the dynamic offloading algorithm using surrogate object model, the data will be executed on the cloud are decided statically or dynamically based on the complex data stream in mobile device. Thus in this study, we propose a Surrogate Object model for Dynamic Offloading (SODO) mechanism which provides mobile device network to self heal by storing data needed for transactions across multiple surrogate objects over the cloud by analyzing customer requirements and context. The proposed SODO mechanism ensures maximum throughput of data streaming and less power consumption in mobile cloud.
A.N. Gnana Jeevan and M.A. Maluk Mohamed, 2016. SODO: Surrogate Object Model for Dynamic Offloading in Mobile Cloud. Asian Journal of Information Technology, 15: 2973-2980.