智慧城市的数据中心架构

Jason Koh, S. Sandha, Bharathan Balaji, Daniel Crawl, I. Altintas, Rajesh E. Gupta, M. Srivastava
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引用次数: 3

摘要

如今,城市产生了大量的数据。许多数据集是公开的,由不同部门、政府机构和机构提供。新的数据可以影响我们对城市面临的问题的理解,并可以支持基于证据的政策。然而,由于难以吸收来自不同来源的数据,数据的使用受到限制。开放数据集往往缺乏统一的结构,这限制了传统数据库系统对开放数据集的分析。在本文中,我们介绍了Citadel,一个城市数据中心。Citadel的目标是支持端到端的知识发现网络基础设施,以进行有效的分析和政策支持。Citadel旨在吸收大量异构数据,并通过鼓励城市数据共享来支持多种用例。我们的海报展示了提议的功能、架构、实现细节和初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Hub Architecture for Smart Cities
Today large amount of data is generated by cities. Many of the datasets are openly available and are contributed by different sectors, government bodies and institutions. The new data can affect our understanding of the issues faced by cities and can support evidence based policies. However usage of data is limited due to difficulty in assimilating data from different sources. Open datasets often lack uniform structure which limits its analysis using traditional database systems. In this paper we present Citadel, a data hub for cities. Citadel's goal is to support end to end knowledge discovery cyber-infrastructure for effective analysis and policy support. Citadel is designed to ingest large amount of heterogeneous data and supports multiple use cases by encouraging data sharing in cities. Our poster presents the proposed features, architecture, implementation details and initial results.
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