异构传感器数据基于主题的物联网数据存储框架

Eko Sakti Pramukantoro, Widhi Yahya, Gabreil Arganata, A. Bhawiyuga, Achmad Basuki
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引用次数: 13

摘要

海量数据和异构数据是物联网数据存储面临的挑战。需要一个设计合理的物联网中间件来处理这些问题。本文提出了一个由互联网网关设备(IGD)功能、Web服务、NoSQL数据库和物联网应用程序组成的框架。该框架有效地处理了传感器的结构化和非结构化数据。为了验证框架,我们使用功能和非功能测试对其进行评估。从功能测试来看,该框架可以交付和存储异构数据量的数据。从非功能测试来看,该框架每秒可以从IGD接收443个数据,每秒可以向物联网应用程序发送173个数据,响应时间在1秒以下,是可以接受的。
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Topic based IoT data storage framework for heterogeneous sensor data
Massive volume and heterogeneous data are the challenges in IoT data storage. A properly designed IoT middleware is required to handle the issues. This paper presents a framework consists of Internet Gateway Device (IGD) function, a Web service, NoSQL database, and IoT Application. The framework efficiently handles the structured and unstructured of sensors data. To verify the framework, we evaluated it using functional and non-functional testing. From the functional testing, this framework can deliver and store data with heterogeneous data and volume. From the non-functional testing, this framework can receive 443 data per second from an IGD, can deliver 173 data per second to IoT Apps, and response times are acceptable which is under 1 seconds.
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