Dynamic Real-Time Infrastructure Planning and Deployment for Disaster Early Warning Systems

Abstract

An effective nature disaster early warning system often relies on widely deployed sensors, simulation based predicting components, and a decision making system. In many cases, the simulation components require advanced infrastructures such as Cloud for performing the computing tasks. However, effectively customizing the virtualized infrastructure from Cloud based time critical constraints and locations of the sensors, and scaling it based on dynamic loads of the computation at runtime is still difficult. The suitability of a Dynamic Real-time Infrastructure Planner (DRIP) that handles the provisioning within cloud environments of the virtual infrastructure for time-critical applications is demonstrated with respect to disaster early warning systems. The DRIP system is part of the SWITCH project (Software Workbench for Interactive, Time Critical and Highly self-adaptive Cloud applications).