IEEE P1934/D2.0, Apr 2018
IEEE Approved Draft Standard for Adoption of OpenFog Reference Architecture for Fog Computing
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About This Item
IEEE P1934/D2.0, Apr 2018 is an approved draft standard focused on adopting the OpenFog Reference Architecture for fog computing in computing and processing environments. It is intended to help align distributed systems design around a common architectural approach, where processing may occur closer to devices and data sources. For organizations evaluating fog-enabled platforms, IEEE P1934/D2.0, Apr 2018 provides a technical reference that can support more consistent system planning and implementation.
Overview of IEEE P1934/D2.0, Apr 2018
This draft standard addresses the structure and adoption of the OpenFog Reference Architecture as applied to fog computing. In practical terms, it frames how compute, connectivity, storage, and control functions can be organized across distributed infrastructure rather than concentrated in a single central system. IEEE P1934/D2.0, Apr 2018 is relevant to technical teams that need a shared basis for designing fog-capable solutions, comparing architectures, or documenting requirements within computing and processing projects.
Typical use cases
IEEE P1934/D2.0, Apr 2018 may be used when designing distributed computing systems that need lower-latency processing, localized analytics, or coordinated edge-to-cloud operation. It is particularly relevant for fog computing architectures in industrial automation, connected infrastructure, smart systems, and sensor-heavy environments where data handling must be shared across multiple layers. Teams may consult the standard during system definition, platform integration, or architecture reviews to keep implementation choices aligned with a recognized reference model.
Why it matters
This standard matters because fog computing architectures can become inconsistent quickly without a common framework. IEEE P1934/D2.0, Apr 2018 supports clearer design control by giving stakeholders a defined technical basis for requirements, integration, and validation. That can reduce implementation risk, improve consistency across projects, and make procurement or compliance discussions more precise. For computing and processing applications, a shared reference architecture also helps teams compare solutions and manage distributed performance expectations more effectively.
- OpenFog Reference Architecture adoption
- Fog computing system organization
- Distributed compute and data handling
- Architecture planning and review
- Consistency for implementation and validation
- Publication Date: 2018
- Standard Status: Inactive
- Publisher: IEEE
- Subject: Computing and Processing
- Official IEEE: Doi link
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