Transcript UrbanFlood
UrbanFlood The Common Information Space: A Framework for Early Warning Systems Bartosz Baliś, Tomasz Bartyński, Marian Bubak, Grzegorz Dyk, Tomasz Gubała, Marek Kasztelnik Motivation: Early Warning Systems against natural disasters Complex distributed systems Mission and time-critical Involve resource-intensive computations and data analysis Require compositions of resources into complex scenarios ◦ Sensors monitoring objects and natural phenomena ◦ Apps for data analysis & simulation ◦ ICT infrastructure (hardware + software) Example: Urban area flood simulation Goals Develop a framework facilitating development, deployment and execution of EWSs: the Common Information Space EWS development ◦ EWS reference model ◦ EWS development framework EWS deployment ◦ EWS blueprints ◦ EWS-factory-as-a-service EWS execution ◦ CIS runtime services for resource allocation, selfmonitoring, self-healing, mission-critical operation, and urgent computing CIS Architecture and EWS reference model Cracow Grid Workshop 2012 UrbanFlood 5 CIS as a system factory System instance System factory invoke System blueprint configurations Service factory Service factory Service Service configurations customize Virtual appliance store Cracow Grid Workshop 2012 UrbanFlood 6 Case study: Flood Early Warning System Protection of urban areas against floods due to dike failures Real-time monitoring of embankments using wireless sensors A casade of models for: ◦ Anomaly detection ◦ Risk assessment ◦ Impact prediction Cracow Grid Workshop 2012 UrbanFlood 7 Dike anomaly detection Anomaly detection using neural cloud classification Dike breach risk computation Distribution of probability of dike breach is calculated Depending on the current water level Flood simulation Life Safety Model Loss of life estimate due to flood Initial state of the world Post-event summary (red color = deceased) Virtual Dike Computer model of a dike Simulation of dike behaviour Useful for „what-if” experiments Also for testing the real EWS („emergency drill”) Flood Early Warning System workflow Dike Data flow Control flow Sensor Cabinet Alternate path Virtual Dike AnySense Service AI Anomaly Detection action Reliability Analysis Abnormal? High risk? Life Safety Simulation Flood Simulation High impact? Flood EWS: implementation Cracow Grid Workshop 2012 UrbanFlood 14 Example: Flood Simulation Part Cracow Grid Workshop 2012 UrbanFlood 15 Conclusion CIS contributes conceptually and technologically in the following areas: CIS as a factory for Early Warning Systems ◦ Proven by the implementation of the Flood EWS CIS as a geo-ICT technology for spatial data processing services ◦ CIS adopts guidelines of the INSPIRE directive and leverages OGC standards for service interfaces CIS as a runtime infrastructure for resource-intensive mission-critical systems Cracow Grid Workshop 2012 UrbanFlood 16 urbanflood.cyfronet.pl dice.cyfronet.pl/cis Cracow Grid Workshop 2012 UrbanFlood 17