CLOUD STORM: EMPOWERING DISASTER RESILIENCE THROUGH CLOUD-BASED BIG DATA ANALYSIS

Abstract

Cloud Storm is a pioneering framework designed to enhance disaster resilience by harnessing the power of cloud-based big data analysis. In the face of increasing frequency and intensity of natural disasters, traditional disaster management systems often struggle to cope with the overwhelming influx of data. Cloud Storm addresses this challenge by leveraging cloud computing infrastructure and advanced big data analytics techniques to efficiently process, analyze, and derive insights from vast volumes of heterogeneous data sources. By integrating real-time data streams, satellite imagery, social media feeds, and sensor data, Cloud Storm enables proactive decision-making, rapid response coordination, and effective resource allocation during disaster events. This paper presents an overview of the Cloud Storm framework, its key components, and its potential applications in strengthening disaster resilience worldwide.