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Resilience Aspects in the Sensor Web Infrastructure for Natural Disaster Monitoring and Risk Assessment Based on Earth Observation Data

机译:基于地球观测数据的自然灾害监测和风险评估传感器Web基础架构的弹性方面

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This paper focuses on enabling resilience of the Sensor Web system for disaster monitoring and risk assessment that is based on the use of Earth Observation (EO) data. Resilience is the ability of the system to maintain trustworthy service delivery in spite of changes. Resilience of the EO infrastructure becomes an extremely important issue, especially in the disaster management domain. We propose to enable resilience through: 1) the use of grid resources and services to meet high performance computing requirements; and 2) assessment of resource reputation to select reliable resources. Grid services enable redundancy through integration of heterogeneous resources administrated by geographically distributed organizations. The same services could be provided by different organizations within the infrastructure, and could be of different levels of quality. Therefore, we propose to incorporate a utility-based reputation model to assess reliability of the resources. The proposed approach is implemented within the Namibia Sensor Web Pilot Project that was created as a testbed for evaluating and prototyping key technologies for rapid acquisition and distribution of data products for decision support systems to monitor floods.
机译:本文的重点是基于地面观测(EO)数据的使用,使Sensor Web系统具有用于灾难监视和风险评估的弹性。弹性是系统在发生变化时仍保持可信赖的服务交付的能力。 EO基础结构的恢复能力变得极为重要,尤其是在灾难管理领域。我们建议通过以下方式实现弹性:1)使用网格资源和服务来满足高性能计算要求; 2)评估资源信誉,选择可靠的资源。网格服务通过集成由地理位置分散的组织管理的异构资源来实现冗余。相同的服务可以由基础结构内的不同组织提供,并且可以具有不同的质量级别。因此,我们建议结合基于实用程序的信誉模型来评估资源的可靠性。拟议的方法在纳米比亚传感器网络试点项目中实施,该项目是作为评估和原型化关键技术的试验床而设计的,这些关键技术用于快速获取和分发用于监控洪水的决策支持系统的数据产品。

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