雾计算:云到地面支持智能事物和机器对机器网络

I. Stojmenovic
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引用次数: 285

摘要

智能设备的云服务面临延迟和间歇性连接问题。雾设备定位在云和智能设备之间。它们与云的高速互联网连接,以及与用户的物理接近,使实时应用程序和基于位置的服务以及移动性支持成为可能。思科在智能电网、网联汽车、无线传感器和执行器网络等领域推广了雾计算概念。这篇综述文章将这一概念扩展到分散的智能建筑控制,将云计算作为雾计算的特殊情况,并将其与软件定义网络(SDN)场景联系起来。我们的文献综述发现了少量的文章。讨论了基于SDN的车联网协同数据调度和自适应红绿灯问题,以及基于宏站和微网的智能电网的需求响应管理问题。安全、隐私和信任问题、控制信息开销和网络控制策略似乎还没有在雾计算概念中得到研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fog computing: A cloud to the ground support for smart things and machine-to-machine networks
Cloud services to smart things face latency and intermittent connectivity issues. Fog devices are positioned between cloud and smart devices. Their high speed Internet connection to the cloud, and physical proximity to users, enable real time applications and location based services, and mobility support. Cisco promoted fog computing concept in the areas of smart grid, connected vehicles and wireless sensor and actuator networks. This survey article expands this concept to the decentralized smart building control, recognizes cloudlets as special case of fog computing, and relates it to the software defined networks (SDN) scenarios. Our literature review identifies a handful number of articles. Cooperative data scheduling and adaptive traffic light problems in SDN based vehicular networks, and demand response management in macro station and micro-grid based smart grids are discussed. Security, privacy and trust issues, control information overhead and network control policies do not seem to be studied so far within the fog computing concept.
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