Introduction

Recently, Cloud Computing (CC) was raised to help in solving a lot of problems in a wide range of different sectors. By using (CC), it became much easier to handle a large amount of data and services with a less cost using the utility of pay-as-you-go (PAYG) which is a computing billing method implemented in cloud computing. It allows the user to scale, customize and provision computing resources, including software, storage and development platforms where the resource charges are based on the used services. Cloud computing also gives access to these data and services without time or location dependency. As it’s one of the cloud deployment models, hybrid cloud is a cloud computing environment which uses a mix of private cloud and public cloud services with orchestration between the two platforms. By letting workloads to shift between public and private clouds as computing costs and needs change, hybrid cloud gives greater flexibility and more data deployment options. While (GIS) is playing an important role in a lot of sectors, its value would be much bigger by getting the access to its services 24/7 regardless the location and the time where an internet connection is all you need. This paper presents a Hybrid Cloud GIS framework with three dimensions. The first dimension is a seven segments’ architecture for integrating the hybrid cloud computing with the GIS. Those seven segments are designed to cover the whole integration between the GIS and the two environments of the Hybrid cloud. The second dimension is the participants’ workflow where the users in this framework are categorized to insiders and outsiders dealing with two different environments; public and private. The third dimension is an applied case study on one of the most important sectors which are the health sector to clarify the importance of the Hybrid Cloud GIS framework in solving the most common problems related to this sector and improving its services. The Paper is divided into six sections. The first section gives the introduction. While section two gives a brief explanation of the concepts used in this research including the Cloud Computing definition, characteristics, deployment models and services and the GIS. The third section explains the related work that has been done by other researchers in the field of Cloud GIS. The fourth section demonstrates the suitable CC deployment model used in this research by explaining its advantages, disadvantages, and requirements. The fifth section elucidates the framework with its different dimensions. The last section gives a summarized conclusion for the gained results.