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首页> 外文期刊>Mathematical research letters: MRL >Integration and Provision for City Public Service in Smart City Cloud Union: Architecture and Analysis
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Integration and Provision for City Public Service in Smart City Cloud Union: Architecture and Analysis

机译:城市公共服务在智能城市云联盟的整合与规定:架构与分析

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摘要

City public service is recognized as a foundation to satisfy users' daily life in smart city. However, in the existing framework of smart city, different service providers are separated from each other and are incapable of providing communications with high reliability and low latency. On the other hand, data onto a smart city needs to be integrated, providing superb services for all of these users. As such, this article proposes the concept of "city cloud union" to embrace the whole city public service and raise the users' satisfaction. In the city cloud union, city public service can be divided into two main categories, individual service and subscription service. Then, a city public service relevance and sharing architecture of the city cloud union are constructed. In this architecture, knowledge mapping for information integration and cooperative sharing scheme are designed for performing individual service and accelerating the subscription service, respectively. Accordingly, for the quality of service in the city cloud union, an optimal distribution of genetic algorithm (ODGA) is proposed to complete the cache placement in the cooperative sharing scheme and obtain the ultra low latency. Simulation results illustrate that the proposed algorithm reveals the relationship between average latency and some key parameters in the smart city and it can reduce the latency effectively.
机译:市公共服务被认为是满足智能城市日常生活的基础。然而,在智能城市的现有框架中,不同的服务提供商彼此分开,并且无法提供具有高可靠性和低延迟的通信。另一方面,需要集成到智能城市的数据,为所有这些用户提供卓越的服务。因此,本文提出了“城市云联盟”的概念,以拥抱整个城市公共服务,提高用户的满意度。在城市云联盟,市公共服务可分为两个主要类别,个人服务和订阅服务。然后,构建了城市云联盟的城市公共服务相关性和共享架构。在该架构中,信息集成和协作共享方案的知识映射被设计用于执行单独的服务并分别加速订阅服务。因此,对于城市云联盟的服务质量,提出了遗传算法(ODGA)的最佳分布,以完成协同共享方案中的高速缓存放置,并获得超低延迟。仿真结果表明,所提出的算法揭示了智能城市平均延迟与某些关键参数之间的关系,它可以有效地降低延迟。

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