A Multi Layer Data Platform Architecture for Smart Cities using oneM2M and IUDX

Shubham Mante, Svsln Surya Suhas Vaddhiparthy, Ruthwik Muppala, Deepak Gangadharan, Aftab M. Hussain, Anuradha Vattem
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引用次数: 1

Abstract

Smart cities play a vital role in limiting the ill-effects of rapid urbanization on the environment without compromising on benefits such as improving infrastructure, standard of living, and productivity. However, the collection, storage, and sharing of data from the plethora of sensor networks in a typical smart city deployment warrants a well-defined data platform architecture. In this paper, we propose a multi layer architecture compliant with the oneM2M standards and the Indian Urban Data Exchange (IUDX) framework. The proposed architecture consists of Data Monitoring (DML), Data Storage (DSL), and Data Exchange (DEL) layers. The DML employs oneM2M as the middleware platform to achieve interoperability. The DSL uses a multi-tenant architecture with multiple logical databases, enabling efficient and reliable data management. The DEL utilizes standard data schemas and open APIs of IUDX to avoid data silos, and enables secure data sharing. Further, we present a proof-of-concept implementation of our architecture deployed in a university campus using OM2M, PostgreSQL, and Django. Finally, simulations mimicking real-time data insertion and retrieval showed that the DML can handle 600 concurrent users with an average latency under 100 milli seconds. The DSL improved the latency compared to a single database architecture and the DEL could handle 100 concurrent users with zero failed requests.
基于oneM2M和IUDX的智慧城市多层数据平台架构
智慧城市在限制快速城市化对环境的不良影响而不影响改善基础设施、生活水平和生产力等利益方面发挥着至关重要的作用。然而,在典型的智慧城市部署中,从大量传感器网络收集、存储和共享数据需要一个定义良好的数据平台架构。在本文中,我们提出了一个符合oneM2M标准和印度城市数据交换(IUDX)框架的多层架构。提出的体系结构由数据监控(DML)、数据存储(DSL)和数据交换(DEL)层组成。DML采用oneM2M作为中间件平台,实现互操作性。DSL使用具有多个逻辑数据库的多租户体系结构,从而实现高效可靠的数据管理。DEL利用IUDX的标准数据模式和开放api,避免了数据孤岛,实现了安全的数据共享。此外,我们在一个大学校园中使用OM2M、PostgreSQL和Django展示了我们的架构的概念验证实现。最后,模拟实时数据插入和检索的仿真表明,DML可以处理600个并发用户,平均延迟低于100毫秒。与单一数据库体系结构相比,DSL改进了延迟,DEL可以处理100个并发用户,请求零失败。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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