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Enabling Smarter Societies through Mobile Big Data Fogs and Clouds

机译:通过移动大数据雾和云实现更智能的社会

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Abstract: Smart societies require next generation mobility platforms and applications to enable the needed quality and pace of life. This paper proposes a mobile computing system that enables smarter cities with enhanced mobility information through big data technologies, fogs and clouds. The system includes a mobile application, a backend cloud-based big data analysis system, and a middleware platform based on fog computing. The system architecture and its component technologies are described in addition to a mobile application use case. The technologies used in this paper have been used in the literature in the past. However, we have not found any work where all these technologies have been brought together to develop a mobile application that provides uniquely focused information on user mobility. Google Maps notifications could provide information about nearby road closure or other events where relevant. However, we propose to pull in and provide information to the users about their travel locally, nationally, and internationally. More importantly, relevant information is pulled in from multiple news media and other sources and provided to the user in multimedia formats including text, voice and video.
机译:摘要:智慧社会需要下一代移动平台和应用程序,以实现所需的质量和生活节奏。本文提出了一种移动计算系统,该系统可通过大数据技术,雾霾和云为更智能的城市提供增强的移动性信息。该系统包括一个移动应用程序,一个基于后端云的大数据分析系统以及一个基于雾计算的中间件平台。除了移动应用程序用例之外,还描述了系统体系结构及其组件技术。本文中使用的技术已在过去的文献中使用。但是,我们还没有发现所有将所有这些技术结合在一起以开发可提供有关用户移动性的唯一关注信息的移动应用程序的工作。 Google Maps通知可以提供有关附近道路封闭或其他相关事件的信息。但是,我们建议加入并向用户提供有关其本地,国内和国际旅行的信息。更重要的是,相关信息从多个新闻媒体和其他来源获取,并以多媒体格式(包括文本,语音和视频)提供给用户。

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