Fog computing, also known as fog networking, is something of a “buzzword” for decentralized computing, creating more efficiency in resources and application services through distributed processes orchestrated from the edge and through middleware into the cloud.

“Fog” makes sense for Internet of Things (IoT) solutions as the distributed approach not only improves efficiency by controlling the amount of data that needs to be transported to the cloud for processing, analysis and storage – but for security and compliance reasons as well.

We all know how massive the IoT world is becoming, but like any transformational technology, there are multitude technical challenges that need to be addressed in order to meet the requirements for development, testing, security, analytics and scale.

“Fog” places processing close to the edge where sensors reside physically, and are the “first receivers” of data coming off the sensors. This data can be collected in small hubs at the edge of the network, whether via smart routers or other gateway devices. The data can then be captured, analyzed and presented for local action, then prepared as appropriate for transport into a remote cloud where data from multiple locations can be aggregated, feeding regional, national and global systems – particularly powerful for managed services including observation, maintenance, and more.

While the true value of IoT is in the data/analytics that enable businesses, organizations and governments to operate better, and educational and research institutions to mine information for innovation, the amount of data billions of sensors generate goes beyond “data lakes” into “data oceans.”

It is clearly inefficient to transmit all the data a deployment of sensors creates to the cloud for processing and analytics. Doing so requires cost-intensive bandwidth and can negatively impact performance, for example latency for real-time applications. Although latency may simply be annoying when the sensors are doing basic work, transmission delays can be life-threatening if the sensors are part of a driverless car system, or health monitoring platform.

I’ll be speaking next week on a panel at the IOT Evolution Conference & Expo in Las Vegas, alongside Mike Hitmar, an expert in Fog Computing for IoT as a senior industry advisor at SAS. In advance of this panel, on this blog I’ll share some thoughts around the power of the First Receiver vision first brought to market by my friend and colleague, Don DeLoach, CEO of Infobright, one of the world’s leading companies providing hyper-efficient data processing technologies and services to the IoT community for over five years. We’ll share a whitepaper on the First Receiver approach, which brings “Fog” down to earth and clarifies the advantages – which are profound.

Andy

The A B C D E and “I” Guidance for 2017

The A B C D E and “I” Guidance for 2017

Heading into the New Year, the Qualesce team thanks our loyal customers and brilliant partners for a first year in business that exceeded our expectations and inspired us to continually focus on this one thing: QUALITY. We have learned as much from our customers and...

What’s Next for Government Networking

What’s Next for Government Networking

As we make our way through an often divisive, combative and confusing election season here in the U.S., one thing that everybody seems to agree on – regardless of party affiliation – is security. Life can be scary, and we count on our government agencies to protect us...

A Primer for Enterprises

A Primer for Enterprises

Even if you consider your company to be “traditional” if your company is not becoming “digital” your future may not be as secure as you think. Even the most industrial companies are embedding digital features into their products (for example smart industrial equipment...

Enterprise Network Transformation

Enterprise Network Transformation

When it comes to making “the move” of enterprise real time communication networks to the cloud, it takes true partnership. Regardless of where an enterprise IT team may be in the life cycle of their IP network, including the convergence of all voice, video and...