Two Architectures for Real-Time Sensor Data Streaming for Cloud Applications

被引：0
|
作者：
Singh, Harsh V. P. [1 ]
Rizvi, Syed R. [1 ]
Mahmoud, Qusay H. [1 ]
机构：
[1] Univ Ontario, Dept Elect Comp & Software Engn, Inst Technol, Oshawa, ON, Canada
来源：
2015 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT) | 2015年
关键词：
Streaming; Real-time; Sensor data; Node [!text type='JS']JS[!/text; Websockets; Internet of Things;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents two simple, practical and scalable architectures which facilitate real-time sensor data streaming for cloud applications. Real-time sensor data is invaluable in applications where either the sensor or system state is time variant. Applications involving sensors typically push live data values to cloud based software applications that rely on live data feeds to aid real-time analytics, multi-user collaboration, processing, and re-transmission. The proposed architectures utilize the latest HTML5 WebSocket framework and NODE. JS API to facilitate transmission of real time sensor data. The strength of our architectures leverage vast ubiquitous computing resources available both on the cloud and at the client end to create a rapidly deployable, low-cost, and scalable real-time communication link.
引用
收藏
页码：133 / 138
页数：6
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