An Edge-to-Cloud Data Processing Framework for Real-Time Emergency Situational Awareness in Multi-Cloud Environments
Effective emergency management demands realtime processing and fusion of massive, heterogeneous data streams from IoT sensors, video surveillance, social media, and wireless platforms distributed across disaster-affected regions. Existing cloud-centric architectures suffer from prohibitive latency, while static edge-cl...