While the cloud is a powerful tool for analytics of the massive amount of data generated by the Internet of Things (IoT), it also introduces long delays which are antithetical to the needs of the IoT. Some of the analytics require the whole set of measurements being taken. Others are time sensitive and do not require all the data. This leads to the idea of processing some of the data locally and aggregating all the data in the cloud for overall analysis. The tradeoff we are dealing with is between latency and data volume. The local processing is often called edge processing. In this course we will look at the overall architecture and some of the details of edge processing for the IoT.
February 27, 2017 to March 03, 2017
Continuing Education Center