Edge computing startup Edgeworx exited stealth mode this week, announcing the launch of its open-source ioFog software that can be used to turn any compute hardware into a secure software platform ...

With IoT networks increasingly using fog computing to manage the high volume of data, this increased adoption of IoT will consequently aid in the growth of this market in the coming years.

Fog computing is often employed in large-scale IoT environments, such as smart cities, where data needs to be aggregated and analyzed from numerous sources. Key Differences Between Edge and Fog ...

As fog computing is a decentralized model, it is best positioned to meet the needs of emerging technologies, such as IoT and virtual reality. However, high volume, non-time sensitive jobs are still ...

Fog computing provides an intermediary between these IoT devices and the cloud computing infrastructure that they connect to, as it is able to analyze and process data closer to where it is coming ...

Learn about the different applications of fog computing versus edge computing in higher education, including edge computing structural differences and how fog computing can improve IoT security on ...

The OpenFog Consortium developed IEEE 1934, a standard shaped by ARM, Cisco, Dell, Intel, Microsoft and Princeton University, to handle the massive data generated by IoT, 5G and artificial ...

The combination of billions of IoT devices and 5G networks is set to drive a profound change in the way computing workloads are deployed.

By virtue of its distributed architecture, fog computing secures everything from the cloud to the device.

It was fog that produced the compass.” That’s how I see it — the foresight to adopt, and insight provided by, fog computing could lead to great achievements.

If the hardest part of the “Internet of Things” is getting to the Things, Cisco Systems is offering a lifeline. The so-called IoT encompasses a range of Internet-capable devices that could be ...