Data Hub Architecture for Smart Cities
Data Hub Architecture for Smart Cities
复制标题
智慧城市的数据中心架构
DOI：
10.1145/3131672.3137001
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Srivastava, Mani
中科院分区：
文献类型：
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作者：
Koh, Jason;Sandha, Sandeep;Balaji, Bharathan;Crawl, Daniel;Altintas, Ilkay;Gupta, Rajesh;Srivastava, Mani
如今，城市产生大量数据。许多数据集都是公开的，由不同部门、政府机构和机构提供。新数据可以影响我们对城市所面临问题的理解，并可以支持基于证据的政策。然而，由于难以吸收不同来源的数据，数据的使用受到限制。开放数据集通常缺乏统一的结构，这限制了使用传统数据库系统的分析。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 旨在摄取大量异构数据，并通过鼓励城市中的数据共享来支持多种用例。我们的海报展示了建议的功能、架构、实现细节和初步结果。
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.
Plenario：城市科学的开放数据发现和探索平台
DOI：
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发表时间：
2014
期刊：
IEEE Data Engineering Bulletin
影响因子：
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作者：
C. Catlett;T. Malik;B. Goldstein;Jonathan Giuffrida;Yetong Shao;Alessandro Panella;Derek Eder;E. V. Zanten;R. Mitchum;S. Thaler;Ian T Foster
通讯作者：
Ian T Foster