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首页> 外文期刊>IEEE Communications Magazine >A Unified Urban Mobile Cloud Computing Offloading Mechanism for Smart Cities
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A Unified Urban Mobile Cloud Computing Offloading Mechanism for Smart Cities

机译:智慧城市的统一城市移动云计算卸载机制

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摘要

The increasing urbanization level of the world population has driven the development of a smart city geographic system, conceived as a fully connected wide area characterized by the presence of a multitude of smart devices, sensors, and processing nodes aimed at distributing intelligence into the city. At the same time, the pervasiveness of wireless technologies has led to the presence of heterogeneous networks, operating simultaneously in the same city area. One of the main challenges in this context is to provide sustainable solutions able to jointly optimize the data transfer, exploiting heterogeneous networks, and the data processing, exploiting heterogeneous devices, for managing smart city applications for citizens' communities. In this article, the UMCC framework is developed, introducing a mobile cloud computing model describing the flows of data and operations taking place in the smart city. In particular, we focus on the proposal of a unified offloading mechanism where communication and computing resources are jointly managed, allowing load balancing among the different entities in the environment, delegating both communication and computation tasks in order to satisfy the smart city application requirements. This allows us to cope with the limited battery power and computation capacity of smart mobile devices and plays a key role in a smart environment where wireless communication is of utmost relevance, particularly in the mobility and traffic control domains.
机译:世界人口的城市化水平不断提高,推动了智能城市地理系统的发展,该系统被认为是一个完全连接的广域,其特征是存在着许多旨在向城市分发情报的智能设备,传感器和处理节点。同时,无线技术的普及导致异构网络的出现,它们在同一城市地区同时运行。在这种情况下的主要挑战之一是提供可持续的解决方案,该解决方案能够共同优化数据传输,利用异构网络,以及数据处理,利用异构设备,以管理公民社区的智能城市应用程序。在本文中,开发了UMCC框架,引入了一个移动云计算模型,该模型描述了智能城市中发生的数据流和运营。特别是,我们专注于统一卸载机制的建议,该机制中通信和计算资源被共同管理,允许环境中不同实体之间的负载平衡,委派通信和计算任务,以满足智能城市的应用需求。这使我们能够应对智能移动设备的有限电池电量和计算能力,并在其中无线通信至关重要的智能环境中发挥关键作用,尤其是在移动性和流量控制领域。

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