I. INTRODUCTIONGIS is a data-intensive system by nature and is a mature technology. It has facilitated a large amount of geospatial and non-spatial data. The size of this data will over time grow to be large enough to limit any single organization from maintaining and managing such large data. GIS applications also consume a lot of computational resources such as processing, memory, and storage to perform manipulation operations on such large data. These applications typically include data acquisition and preprocessing from multiple sources, followed by comprehensive spatial analysis [1]. GIS functions and services are distributed geographically and logically due to the source of the data, the location of computing facilities and organizations. GI systems are expensive investments (HW, SW, personnel), furthermore data acquisition and maintenance are usually expensive and time-consuming [2]. Therefore GIS is always developed through government authorities and large organizations that can afford such investments. Many smaller users in different domains do not have the ability to manage GIS. Cloud computing provides resources as a service. It offers a scalable infrastructure and solution to such challenges to host large volumes of data and powerful computing resources [1]. Since cost reduction and release of high initial costs is needed, Cloud GIS helps many companies [3] [4]. The extensive use of GIS especially in mobile apps which are becoming more and more widespread around the world in different types of fields, can with good opportunities be moved to the Cloud. This trend will provide on-demand services to a wider range and variety of small users. Vol. 2., 2012.‏[34] Baharuddin, Rosnita, Dalbir Singh, and Rozilawati Razali “Dimensions of Usability for Mobile Applications: A Review.” Research Journal of Applied Sciences 5, 2013.‏[35] Ismaeel, Ayad Ghany. and Sanaa Enwaya Rizqo. “Optimal Patient Rescue System Productivity Using Mobile GIS Based on WCF Technology.” arXiv preprint arXiv, 2013.‏[36] Yin, Junjun, and James D. Carswell “Spatial search techniques for mobile 3D queries in sensor web environments.” ISPRS International Journal of Geo-Information 2.1, 2013.‏[37] Guo, Lingling, Man Yuan, and Shaobin Hu. “Oilfield GIS service based on mobile platform.”, IJCNS, 2010.‏[38 ] Cutugno and Francesco, “Voice and multimodal interaction in mobile GIS research: a case study.” Wireless Web and Geographic Information Systems Springer Berlin Heidelberg, Springer, 2012.‏