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

  • Huan Zhou
  • Arie Taal
  • Spiros Koulouzis
  • Junchao Wang
  • Yang Hu
  • George SuciuJr.
  • Vlad Poenaru
  • Cees de Laat
  • Zhiming ZhaoEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10861)


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).


Cloud Disaster early warning Time critical systems 



This research has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreements 643963 (SWITCH project), 654182 (ENVRIPLUS project) and 676247 (VRE4EIC project).


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.University of AmsterdamAmsterdamThe Netherlands
  2. 2.BEIA ConsultantBucharestRomania

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