Hands-On Industrial Internet of Things

Analytics on the cloud

Cloud analytics offer the best advantages, but also have two important disadvantages. They can be deployed and managed easily and they can scale rapidly. They can also work on a large amount of data over the entire fleet and cross-assets. However, they cannot process high frequency data (more then 100 GB every hour with a sampling interval of less than 1 ms). This issue is not due to the cloud analytics themselves, but due to the bandwidth. The latency of the network causes a problem because cloud analytics cannot work with low latency. For these special cases, we prefer to run on the edge.