ABSTRACT
In the face of disasters, communication between the entities becomes more diverse, and the intricacy of the disaster response also turns out to be greater. The increased demand for communication, oscillating environmental aspects, abandoned communication infrastructure, etc., leads to the development of disaster response networks, which become accustomed to altering situations during disasters. This system was developed by the connection of cyber physical systems (CPS) to networks, with the consolidation of physical and computational elements. CPS includes an always-open network and cloud to provide a constant service to users, based on their requests in disaster situations. The dynamic requests and continuously variable environment encouraged the evolution of a new technology to make an efficient and precise decision in the minimum time. At present, cloud computing has become the most broadly used system for providing virtual resources to the user. The most important process of such a system is scheduling and monitoring of resources. In the present work, task-based resource scheduling, using the Precedence Scheduling algorithm (PSA), has been proposed. Here, the resources are provisioned in accordance with precedence, which is calculated, based on the level of user interest and affinity towards a specific resource. Furthermore, the proposed algorithm is compared with existing algorithms on the basis of aspects such as time, power, throughput, scalability and reliability, resource usage, and so forth.
