救灾系统的度量标准

L. Grewe, S. Krishnagiri, J. Cristobal
{"title":"救灾系统的度量标准","authors":"L. Grewe, S. Krishnagiri, J. Cristobal","doi":"10.1109/VECIMS.2008.4592751","DOIUrl":null,"url":null,"abstract":"We discuss the design and implementation of a distributed, real-time visualization-based disaster recovery tool. In this paper, we focus on metrics used in our system. We discuss how multiple sources of information are fused and visualized featuring the capture and visualization of corresponding uncertainty metrics. We also discuss metrics related to the communication module of our disaster recovery tool. The distributed infrastructure of our system will help to support much needed planning as well as provide a response and command tool for disaster events. The goal is to provide an infrastructure that responds predictably to scale, allows data propagation without disruption or delay, and maintains records of the current situation for report generation and at the same time adheres to guidelines mandated by pre-established structures of command. We have implemented two versions of the communications module of our infrastructure, a mobile agent implementation and a subscription based implementation. Performance metrics will be shown for comparison.","PeriodicalId":284224,"journal":{"name":"2008 IEEE Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Metrics of a system for disaster relief\",\"authors\":\"L. Grewe, S. Krishnagiri, J. Cristobal\",\"doi\":\"10.1109/VECIMS.2008.4592751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We discuss the design and implementation of a distributed, real-time visualization-based disaster recovery tool. In this paper, we focus on metrics used in our system. We discuss how multiple sources of information are fused and visualized featuring the capture and visualization of corresponding uncertainty metrics. We also discuss metrics related to the communication module of our disaster recovery tool. The distributed infrastructure of our system will help to support much needed planning as well as provide a response and command tool for disaster events. The goal is to provide an infrastructure that responds predictably to scale, allows data propagation without disruption or delay, and maintains records of the current situation for report generation and at the same time adheres to guidelines mandated by pre-established structures of command. We have implemented two versions of the communications module of our infrastructure, a mobile agent implementation and a subscription based implementation. Performance metrics will be shown for comparison.\",\"PeriodicalId\":284224,\"journal\":{\"name\":\"2008 IEEE Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VECIMS.2008.4592751\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VECIMS.2008.4592751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

我们讨论了一个分布式的、实时的、基于可视化的灾难恢复工具的设计和实现。在本文中,我们关注系统中使用的度量。我们讨论了多个信息源如何融合和可视化,以捕获和可视化相应的不确定性度量为特征。我们还讨论了与灾难恢复工具的通信模块相关的指标。我们系统的分布式基础设施将有助于支持急需的规划,并为灾难事件提供响应和指挥工具。目标是提供一种基础设施,能够对规模做出可预测的响应,允许数据在不中断或延迟的情况下传播,并维护当前情况的记录以生成报告,同时遵守预先建立的指挥结构规定的指导方针。我们在基础设施中实现了两个版本的通信模块,一个是移动代理实现,一个是基于订阅的实现。将显示性能指标以供比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metrics of a system for disaster relief
We discuss the design and implementation of a distributed, real-time visualization-based disaster recovery tool. In this paper, we focus on metrics used in our system. We discuss how multiple sources of information are fused and visualized featuring the capture and visualization of corresponding uncertainty metrics. We also discuss metrics related to the communication module of our disaster recovery tool. The distributed infrastructure of our system will help to support much needed planning as well as provide a response and command tool for disaster events. The goal is to provide an infrastructure that responds predictably to scale, allows data propagation without disruption or delay, and maintains records of the current situation for report generation and at the same time adheres to guidelines mandated by pre-established structures of command. We have implemented two versions of the communications module of our infrastructure, a mobile agent implementation and a subscription based implementation. Performance metrics will be shown for comparison.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信