Abstract
Enhancements of mobile devices capabilities resulted in an increasing usage of them among people all over the world. These smart devices including the smart phones changed our life style forever, and they are considered by many people as an inseparable part of their daily activities. We are using these mobile devices to do many useful activities such as: stay in touch with others through audio and video calls, run health and GIS applications, and do online shopping. However, there are some weakness aspects of these devices that limit their functionality: short battery and small memory. Mobile Cloud Computing promises to overcome such mobile device's limitations. The large files can be stored at the cloud, and the execution of huge jobs will be done at cloud also, and the mobile device will receive the results only. In this paper, we will build a mobile cloud system (MCS) for university applications. The proposed system can perform different tasks based on the types of the sensors used (motion, fire, or health sensors). We will present the design of two main applications of the proposed MCS which are in fire detection and traffic management inside the university. The data collected by the sensors will be transferred and analyzed in MCS to extract the suitable decision.