I. INTRODUCTIONGIS is a data-intensive system by nature and is a mature technology. This facilitated the collection of a large amount of geospatial and non-spatial data. Over time, the size of this data will become large enough to make it impossible for any organization to maintain and manage such large data. Additionally, GIS applications consume a lot of computing resources such as processing, memory, and storage to perform manipulation operations on such large data. These applications typically include the acquisition and preprocessing of data from multiple sources, followed by comprehensive spatial analysis [1]. GIS functions and services are distributed geographically and logically due to data source, location of computing facilities, and organizations. IM systems represent a costly investment (hardware, software, personnel), and data acquisition and maintenance are generally expensive and time-consuming [2]. Therefore, GIS is still growing thanks to government authorities and massive organizations that can afford such investment. Many small users in different fields do not have the ability to drive a GIS. Cloud computing provides resources as a service. It offers a scalable infrastructure and solution to these challenges to host large volumes of data as well as powerful computing resources [1]. With the need to reduce costs and release the high initial cost, Cloud GIS helps many businesses [3] [4]. The intensive use of GIS, especially in mobile applications, which are becoming more and more widespread all over 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. Flight. 2., 2012.‏[34] Baharuddin, Rosnita, Dalbir Singh and Rozilawati Razali. “Usability Dimensions for Mobile Applications – A Review 5, 2013.‏[35] Ismaeel, Ayad Ghany., and Sanaa Enwaya Rizqo. “Optimal Productivity of Patient Care System 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 a Mobile Platform.”, IJCNS, 2010.‏[38 ] Cutugno and Francesco, “Discourse and Multimodal Interaction in Mobile GIS Research: A Case Study.” Web and Wireless Geographic Information Systems Springer Berlin Heidelberg, Springer., 2012.‏