首页> 外文会议>IEEE International Smart Cities Conference >A Distributed-to-Centralized Smart Technology Management (D2C-STM) model for Smart Cities: a Use Case in the Zero Emission Neighborhoods
【24h】

A Distributed-to-Centralized Smart Technology Management (D2C-STM) model for Smart Cities: a Use Case in the Zero Emission Neighborhoods

机译:用于智能城市的分布式集中式智能技术管理(D2C-STM)模型:零排放社区的用例

获取原文

摘要

Smart city solutions propose an essential technological innovation in a city. These solutions can elevate their citizens’ quality of life by multiple different smart technology management models among end-users, city planners, and technological devices, such as resource management, data management, service management, and network management. There are several works to suggest models for smart technology management, Centralized and Distributed-to-Centralized smart technology management. The Distributed-to-Centralized smart technology management (D2C-STM) model can make several advantages from the combined benefits of distributed (e.g., Fog and cloudlet) and centralized (e.g., Cloud) technologies, such as decreasing network traffics, and enhancing the security levels. In this paper, we propose a comprehensive D2C-STM model for smart cities from small to large city scale. Then, we extend our proposed ICT architecture for the Zero Emission Neighborhoods (ZEN) center. For this purpose, we tailor the idea of D2C-STM model with the ZEN Key Performance Indicators (KPIs) and their requirements. Finally, we implement a part of the ZEN ICT architecture. The focus of this implementation is to design the frontend and visualizations of the ZEN KPIs.
机译:智能城市解决方案提出了一个城市的重要技术创新。这些解决方案可以通过最终用户,城市规划者和技术设备等多种不同的智能技术管理模式提升其公民的生活质量,例如资源管理,数据管理,服务管理和网络管理。有几种工程建议智能技术管理,集中和分布式智能技术管理的模型。分布式到集中的智能技术管理(D2C-STM)模型可以从分布式(例如,雾和Cloudlet)和集中(例如,云)技术的组合效益中产生了几个优点,例如降低网络流量,并增强安全级别。在本文中,我们为智能城市提出了一个综合的D2C-STM模型,从小到大城市等级。然后,我们为零排放街区(ZEN)中心扩展了我们提出的ICT架构。为此目的,我们根据ZEN关键绩效指标(KPI)来定制D2C-STM模型的想法及其要求。最后,我们实施了Zen ICT架构的一部分。此实现的重点是设计ZEN KPI的前端和可视化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号