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arXiv 1806.07530cs.CYcs.CRcs.DC
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物联网(IoT)和云计算支持的灾难管理

Internet of Things (IoT) and Cloud Computing Enabled Disaster Management

Raj Gaire, Chigulapalli Sriharsha, Deepak Puthal, Hendra Wijaya, Jongkil Kim, Prateeksha Keshari, Rajiv Ranjan, Rajkumar Buyya, Ratan K. Ghosh, R. K. Shyamasundar, Surya Nepal

摘要:

灾害管理需要近实时的信息传播,以便在正确的时间向正确的人提供紧急服务。信息和通信技术的最新进展使得能够从各种来源收集实时信息。例如,部署在田间的传感器收集有关环境的数据。类似地,Twitter和Facebook等社交网络可以帮助收集灾区人民的数据。一方面,对灾害情况认识不足已被确定为造成人员伤亡和重要基础设施被毁等严重后果的人为错误的主要因素之一。另一方面,社交媒体和移动设备的日益普及以及物联网的普遍性意味着有更多的出站流量来源,这最终导致在灾难事件发生后不久就开始产生数据洪流,导致信息海啸的问题。此外,安全和隐私对于克服滥用系统入侵数据或克服滥用用于特定目的的信息具有至关重要的作用。....在本章中,我们提供了这样一个情况感知应用程序,以支持灾难管理数据生命周期,即从数据摄取和处理到警报传播。我们利用云计算、物联网和社会计算技术来实现一个可扩展、高效、可用的情景感知应用程序,称为Cloud4BigData。

英文摘要:

Disaster management demands a near real-time information dissemina-tion so that the emergency services can be provided to the right people at the right time. Recent advances in information and communication technologies enable collection of real-time information from various sources. For example, sensors deployed in the fields collect data about the environment. Similarly, social networks like Twitter and Facebook can help to collect data from people in the disaster zone. On one hand, inadequate situation awareness in disasters has been identified as one of the primary factors in human errors with grave consequences such as loss of lives and destruction of critical infrastructure. On the other hand, the growing ubiquity of social media and mobile devices, and pervasive nature of the Internet-of-Things means that there are more sources of outbound traffic, which ultimately results in the creation of a data deluge, beginning shortly after the onset of disaster events, leading to the problem of information tsunami. In addition, security and privacy has crucial role to overcome the misuse of the system for either intrusions into data or overcome the misuse of the information that was meant for a specified purpose. .... In this chapter, we provide such a situation aware application to support disaster management data lifecycle, i.e. from data ingestion and processing to alert dissemination. We utilize cloud computing, Internet of Things and social computing technologies to achieve a scalable, effi-cient, and usable situation-aware application called Cloud4BigData.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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