Smart city is a fast-developing system enabled by Internet of Things (IoT) with massive collaborative services (e.g., intelligent transportation and collaborative diagnosis). Generally, the terminals in the smart city are provided with limited computing ability, thus incapable of processing the diversified and cross-application services. Faced with insufficient resource provisioning for the collaborative smart city services, edge computing is emerged as a novel paradigm to provide city terminals with more processing capacity. Nevertheless, as there is a tremendous threat of disclosing private information in the offloading of collaborative services, it is imperative to improve privacy security in the edge computing. With the intention of addressing the privacy disclosure, an intelligent offloading method (IOM) for smart city, realizing privacy preservation, improving offloading efficiency, and promoting edge utility, is proposed. Technically, the information entropy mechanism is employed to be integrated with edge computing to obtain the balance between privacy preservation and collaborative service performance. Eventually, the simulation analysis is implemented to verify the effectiveness of IOM.

中文翻译：

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边缘计算中协作智能城市服务的智能卸载


智慧城市是一个快速发展的系统，由物联网（IoT）提供海量协作服务（例如智能交通和协作诊断）。一般来说，智慧城市中的终端计算能力有限，无法处理多样化、跨应用的业务。面对协作智慧城市服务资源供应不足的问题，边缘计算作为一种新的范式应运而生，为城市终端提供更多的处理能力。然而，由于协作服务卸载中存在泄露隐私信息的巨大威胁，因此提高边缘计算中的隐私安全势在必行。针对隐私泄露问题，提出一种智慧城市智能卸载方法（IOM），实现隐私保护、提高卸载效率、提升边缘效用。技术上，采用信息熵机制与边缘计算相结合，获得隐私保护与协同服务性能之间的平衡。最后通过仿真分析验证了IOM的有效性。