# A Cloud Based Disaster Management System
## 2 Related Works  
Several studies have discussed disaster recovery using cloud computing [3; 4; 5] in the business context and for enterprises such as storage recovery [3]. The authors in [4; 5] discussed business continuity requirements, such as sudden service disruption, that directly impact business objectives and cause significant losses. In contrast, many works have been presented for cloud gaming systems [6; 7; 8; 9]. Some authors [8; 9] have proposed a 3D graphics streaming solution in which the cloud servers intercept graphics commands, then compress these commands, and finally stream them to clients. In [10], the authors developed an approach by which the cloud was used to render 3D graphics commands into 2D videos, then compress the videos, and stream them to clients. Analysis of the main cloud gaming platforms was discussed in [6], highlighting the uniqueness of their framework design. Clearly, disaster recovery in natural disaster situations is completely different from the business perspective. Users require powerful resources for rapid rendering and instant reaction. [PERSON] [11] proposed a traditional cloud computing approach to manage a large amount of data and wide variety of organizations for natural and man-made emergencies. The most challenging issues in disaster management systems are the communications networks and 3D modeling approaches. For instance, in each disaster situation, there is a need to transfer information between different bodies, such as the disaster management organizations, people, police, and other actors, in an efficient way to provide a quick and appropriate response. Moreover, representing the  
Figure 1: System Flow Chart. disaster situation on the fly in a modern and realistic 3D modeling to execute an emergency response plan for the management of disaster incidents is an important and necessary capability to improve the ability to monitor, manage and coordinate the disaster situation in a particular region. Many studies have shown the importance of network communication in disaster management systems. The authors in [12] presented a reliable communication mechanism based on 4G. A Mobile Pico is implemented to carry out data transfer between the events station and the accident site. In [13,14] authors proposed communication solution based on IoT technology to minimize the damage and risks involved with disasters. [PERSON] et al. [13] developed a distributed communication solution using IoT technology. The advantage of the proposed approach is that the data transmission between all actors' does not require any existing network infrastructure. A smart city case study is implemented to test the effectiveness of the protocol. In [15], the authors proposed a communication protocol to guarantee continuous connectivity between all players participating in the rescue activity. WiFi direct technology was used to overcome the limitations of the ad hoc networks. The system is specifically developed to offer a stable communication between victims and rescuers. Also, the authors used the WiFi legacy to optimize inter-group communication between different WiFi direct groups. The Sherpa project [16,17], which aims to improve the rescuing activities through the smart collaboration between humans and robots, has studied the impact of different network technologies used for cloud robotics and concluded that the satellite technology best suit the search and rescue scenario. Moreover, the authors in [17] proposed a new architecture called Dew robotics inspired by the concepts of Dew computing. The proposed architecture leverages the collaboration between robots to fit the search and rescue applications requirements. Today, research concerning the 3D VE tends to lean towards easy and fast runtime without the need for programming skills. VEs are used in several contexts, such as movies, mobile games, medical and educational visualization, and architectural visualization.