Industry IoT Consortium
The upcoming union of the Industrial Internet Consortium and the OpenFog Consortium, announced this week, will transform the future of industrial networks. The two organizations’ combined talents will enable us to capitalize on the undeniable momentum of the two largest and most influential international consortia in Industrial IoT, 5G and AI computing.... Read more →
The merger of the OpenFog Consortium and the Industrial Internet Consortium is a win/win/win for end users, Consortium members, and the industry overall. Both consortia share a pragmatic approach of developing specifications and testbeds and aligning the interests of a diverse set of stakeholders from throughout the broader community.... Read more →
Helder Antunes, Founder and Chairman of OpenFog Consortium, bids farewell to the organization.... Read more →
John W. Koon interviews Helder Antunes, Chairman of the OpenFog Consortium. They discuss OpenFog's progress and the organization's goals for the future.... Read more →
The Industrial Internet of Things (IIoT) is heralding a new wave of modernization, across many industries, with customers and internal stakeholders demanding advances in productivity, management, security, and flexibility across various verticals. However, IIoT deployments continue to face considerable head-winds in terms of (largely) manually managed infrastructure, that are mostly un-secure and setup as silos. Fog Computing offers an innovative solution to address these challenges by providing secure access to Operational Technology (OT) infrastructure within the framework of Information Technology (IT) toolsets.... Read more →
As more connected devices come into use across the industrial IoT (IIoT), traditional cloud computing architectures are no longer sufficient. Current centralized systems simply don’t hold up to the scale and security requirements of so many billions of IoT devices, including the secure storage, availability over intermittent network connections, access control, authentication, and real-time analysis of a near-constant data stream. The traditional approach involves moving data from the edge to a central server for processing, which increases latency and reduces available bandwidth across the network. Most importantly, however, the transfer of massive amounts of data from devices at the edge to a central system greatly increases the chance for a security breach, resulting in lost and compromised information.... Read more →
In the last century, transportation, medical, power, and industrial systems were built from individual devices, usually programmed one at a time. The Industrial Internet of Things (IIoT) is changing all of that, transforming isolated programmable devices into intelligent networks of connected machines, such as autonomous cars, intelligent drone delivery systems, smart grid power systems, automated air traffic control, connected medical devices, robotic oil drilling, and more. As a result, these systems have unique computing requirements including real-time processing, complex data interconnectivity, integrated security, high performance, reliability, and scalability. ... Read more →
Through advances in control and robotics research, we can reliably deploy drones on manual or pre-planned trajectories. In the near future, we will even be able to anticipate collision avoidance and formation flights in commercial drones. A fleet of drones will be able to self-pilot itself to capture video several hours a day in smart cities and industrial sites, thereby collecting massive amounts of video data. To manage this volume of video data in real-time, drones need fog networks.... Read more →
What are the economics behind the emerging market for fog computing? Fog computing enables advanced digital deployments in AI, IoT and 5G, and also creates new business models from new services. Yet there are additional economic factors at stake. In this article, we take a look at the network economics pricing policies and incentive mechanisms for networked or computing systems.... Read more →
According to the FAA, last year more than 670,000 drones were registered in the U.S. alone. Drones – also known as unmanned aerial vehicles (UAVs) – are poised to transform key industries by providing cost-effective new services. While drones are really cool, so are all the ground support elements and software algorithms needed to make the operation of a large fleet safe and efficient. Many of these elements require local intelligence. That’s where fog computing and fog networking come in.... Read more →