E-HAMC: Leveraging Fog computing for emergency alert service

Mohammad Aazam, E. Huh
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引用次数: 101

Abstract

Timeliness is one the most important factors in emergency management. Emergency notification mechanism has to be hassle free and quick, in order to have efficient response for any disaster, health-fix, act of terrorism, etc. In this paper, we present service architecture for emergency alert, using Fog computing. Fog computing brings cloud resources close to the underlying devices and IoTs, which makes it ideal for latency sensitive services. Furthermore, Fog is used for offloading resource constrained devices. Our smart phone based service, known as Emergency Help Alert Mobile Cloud (E-HAMC) provides a quick way of notifying the relevant emergency dealing department, utilizing the services of Fog for offloading as well as pre-processing purposes. The service sends the location of incident and contacts the appropriate emergency dealing department automatically through already stored contact numbers. The emergency related information is then synchronized automatically from Fog to the Cloud, allowing further analysis and improvement in safety of the people and creates extended portfolio of services for the concerned authorities as well as the users. Performance in most certain scenarios is also evaluated and presented in this study, which shows the applicability of our system and its future prospects.
E-HAMC:利用雾计算进行紧急警报服务
时效性是应急管理中最重要的因素之一。紧急通知机制必须是无麻烦和快速的,以便对任何灾难、健康修复、恐怖主义行为等作出有效反应。本文提出了一种基于雾计算的应急警报服务体系结构。雾计算使云资源接近底层设备和物联网,这使其成为延迟敏感服务的理想选择。此外,Fog用于卸载资源受限的设备。我们基于智能手机的服务,被称为紧急帮助警报移动云(E-HAMC),提供了一种快速通知相关紧急处理部门的方式,利用Fog的服务进行卸载和预处理。该服务发送事件的位置,并通过已存储的联系号码自动联系相应的紧急处理部门。然后,与紧急情况相关的信息自动从雾同步到云,允许进一步分析和改善人员安全,并为有关当局和用户创建扩展的服务组合。本研究还对大多数特定场景下的性能进行了评估和介绍,这表明了我们系统的适用性及其未来前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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