The OpenFog Consortium’s OpenFog Reference Architecture for fog computing has been adopted as an official standard by the IEEE Standards Association. The new standard, known as IEEE 1934, relies on the reference architecture as a universal technical framework that enables the data-intensive requirements of the Internet of Things, 5G and artificial intelligence applications.
Fog computing is a system-level horizontal architecture that distributes resources and services of computing, storage, control and networking anywhere along the cloud-to-things continuum. It supports multiple industry verticals and application domains, enables services and applications to be distributed closer to the data-producing sources, and extends from the things, over the network edges, through the cloud and across multiple protocol layers. The OpenFog Consortium was founded more than two years ago to accelerate adoption of fog computing through an open, interoperable architecture.
The OpenFog Reference Architecture, released in February 2017, is based on eight core technical principles, termed pillars, which represent the key attributes that a system needs to encompass to be defined as “OpenFog.” These are security, scalability, openness, autonomy, RAS (reliability, availability, and serviceability), agility, hierarchy and programmability. The reference architecture, and now the IEEE standard, addresses the need for an interoperable end-to-end data connectivity solution along the cloud-to-things continuum.
IEEE standards form the building blocks for product development by establishing consistent protocols that can be universally understood and adopted. This fuels compatibility and interoperability and simplifies product development, and speeds time-to-market.
The massive and growing amounts of data produced, transported, analyzed and acted upon within industries such as transportation, healthcare, manufacturing and energy—collectively measured in zettabytes—is exposing challenges in cloud-only architectures and operations that reside only at the edge of the network. Fog computing works in conjunction with the cloud and across siloed operations to effectively enable end-to-end IoT, 5G and AI scenarios.