A stream merge method to reduce load for sensor data stream delivery

Sensor data stream delivery technology takes an important role for the applications. As the number of the streams increases, the server's load caused by the delivery such as the computational power, memory usage, network bandwidth, etc. increases. However, there has never been a method to reduce the number of the streams for sensor data stream delivery. Hence, we propose a stream merge method to reduce the server's load for sensor data stream delivery. In the demonstration, we will show how our proposed method reduces the number of the streams by visualizing various communication situations.

[1]  Shinichi Yamagiwa,et al.  Efficient handling of stream buffers in GPU stream-based computing platform , 2011, Proceedings of 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing.

[2]  Bingsheng He,et al.  Comet: batched stream processing for data intensive distributed computing , 2010, SoCC '10.

[3]  Qiming Chen,et al.  Performance optimization for distributed intra-node-parallel streaming systems , 2013, 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW).