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Usually, gateways are more lightweight, small foot-print, and small-sized computers. For example, the Raspberry Pi, the Intel Stick and Cisco IoT Gateways. Some "gateways" get bigger and more powerful, and we call them "appliances".
Gateway Functions Include:
- On-board Processing
- Data Aggregation
- Real-time Analytics
- Data Transfer
Clouds
We call the computers that gets the IoT data only from IP protocols (and hence whose physical location does not matter) the "clouds". Cloud can be private (in enterprise datacenter) or public (AWS).
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How TQL runs in IoT Solutions
The power of IoT is in the applications. However, moving all of that collected data around is also important. That's why middleware frameworks like TQLEngine offers flexibility to run in cloud as a platform or condensed into intelligent gateway to close the gap between devices in the field and the cloud.
The TQLEngine is a peer-to-peer enabled middleware and application container. Because of its small footprint, it can run on any range of computers starting from most gateway type of devices to large clouds. For example, RaspberryPi, your laptop, servers, and on public/private clouds. IoT applications written in TQL can often be distributed across gateways and clouds. However, because TQLEngine requires JVM to run, it does not run on MCUs.
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