Fog is expected to experience triple-digit annual growth. Here are the three main categories of players in this emerging fog computing
Topic: Edge Computing
How edge computing and edge analytics use real-time data for a variety of applications, including IoT.
If you deal with industrial assets, industrial analytics in IIoT applies to you. Here’s what you need to know – from connecting assets to the edge
A look at how fog extends edge computing functionality in IoT and 5G ecosystems -- and how it bridges the gap between the cloud and what needs to be analyzed …
IoT means more data from more sources to help businesses make better decisions, but it comes with challenges that are best met with edge
IoT technology means more data to make better business decisions, but it also brings challenges.
By 2025 only a tiny percentage of real-time data will be stored because nowhere near enough storage hardware will exist to handle the predicted data volumes. …
The Industrial IoT could be left with dozens of platforms and a huge device and systems integration headache. IOTech's Keith Steele and Andrew Foster write …
"If your organization benefits from distributed data sources, it’s not a question of whether to perform edge processing, the question is
"Any reference architecture co-developed by multiple industry leaders is
An IT architecture for network-centric warfare is outlined, consisting of cloudlets, edge computing, and the data distribution service (DDS)