Two architectures for real-time sensor data streaming for cloud applications

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.