👉 Rescue computing refers to the use of computing resources, often from the cloud or other remote locations, to support critical operations during emergencies or disasters when local infrastructure is damaged or unavailable. This approach leverages the flexibility and scalability of cloud computing to provide immediate access to computational power, storage, and data services necessary for disaster response, recovery, and management. By offloading computationally intensive tasks to remote servers, rescue computing enables more efficient processing of large datasets, real-time decision-making, and the deployment of critical applications such as emergency communication systems, damage assessment tools, and resource allocation platforms. This strategy ensures that essential services can continue to function even when local resources are compromised, thereby enhancing the resilience and effectiveness of disaster response efforts.
