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Scalable framework for emergency response Decision Support Systems

机译:应急响应决策支持系统的可扩展框架

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While responding to a disaster, emergency responders and managers make critical decisions based on limited available information. These decisions are critical for public safety and disaster recovery operation. There are many Decision Support Systems (DSS) available to assist the emergency responder community. Most current systems rely on continued availability of basic infrastructure such as electricity and communication networks, they may not be able to support emergency operations if there is loss of power and/or communication infrastructure. This paper considers a generalized scalable computing framework for Emergency Response DSS (ERDSS) designed to support emergency response operations even if a disaster causes disruptions to the power and communication infrastructure. It should operate at multiple scales of power consumption, network connectivity/bandwidth and computing resources. This framework would support (1.) a large computing system for emergency response planning (2.) laptop/tablet computers for on-site response management and (3.) handheld/ wearable device used in the field by the emergency responders. This framework will provide a unified, user-interface across different devices with the ability to optimize the use of available energy, computing capacity and communication resources to support the users.
机译:在应对灾难时,紧急响应人员和管理人员会根据有限的可用信息做出重要决策。这些决定对于公共安全和灾难恢复运营至关重要。有许多决策支持系统(DSS)可用于协助紧急响应者社区。当前大多数系统依赖于基本基础设施(例如电力和通信网络)的持续可用性,如果断电和/或通信基础设施,它们可能无法支持紧急操作。本文考虑了应急响应DSS(ERDSS)的通用可扩展计算框架,该框架旨在即使在灾难造成电力和通信基础设施中断的情况下也支持应急响应操作。它应在功耗,网络连接/带宽和计算资源的多个规模上运行。该框架将支持(1.)用于应急计划的大型计算系统(2.)用于现场应急管理的便携式计算机/平板电脑,以及(3.)应急人员在现场使用的手持/可穿戴设备。该框架将在不同设备之间提供统一的用户界面,并具有优化可用能量,计算能力和通信资源的使用以支持用户的能力。

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