Dynamic Real-Time Infrastructure Planning and Deployment for Disaster Early Warning Systems
作者： Huan Zhou , Arie Taal , Spiros Koulouzis , Junchao Wang , Yang Hu
DOI: 10.1007/978-3-319-93701-4_51
关键词:
摘要: 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 components require advanced infrastructures such as Cloud for performing computing tasks. However, effectively customizing virtualized infrastructure from time critical constraints locations of scaling it dynamic loads computation at runtime is still difficult. The suitability Dynamic Real-time Infrastructure Planner (DRIP) that handles provisioning within cloud environments virtual time-critical applications demonstrated with respect to systems. DRIP part SWITCH project (Software Workbench Interactive, Time Critical Highly self-adaptive applications).
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