IEEE 1935-2023

IEEE 1935-2023 is the standard for edge/fog manageability and orchestration, offering guidance for how distributed computing resources can be coordinated across the edge and fog layers. In computing and processing environments, this kind of specification helps define a more consistent approach to control, deployment, and operational oversight. It matters because edge systems often span multiple devices and locations, where clear manageability requirements can improve interoperability, reduce integration effort, and support more predictable operation.

Overview of IEEE 1935-2023

IEEE 1935-2023 focuses on the technical context of managing and orchestrating edge and fog computing resources. The standard is relevant where computing functions are pushed closer to data sources and local networks, rather than handled only in centralized systems. Its purpose is to support a structured way to describe how these distributed elements are managed, coordinated, and integrated. For organizations working with edge infrastructure, the document can serve as a reference for aligning design and operational expectations across systems.

Typical use cases

This standard may be used in architectures that coordinate workloads across gateways, local processing nodes, and fog-layer platforms. It is relevant to deployment scenarios where devices, applications, and services must be managed close to the network edge, such as industrial monitoring, connected infrastructure, and site-level computing systems. IEEE 1935-2023 is also useful when teams need a common framework for orchestration across heterogeneous processing resources and distributed environments.

Why it matters

IEEE 1935-2023 helps improve consistency in how edge and fog systems are specified, evaluated, and implemented. That can matter during procurement, integration, and testing, especially when multiple vendors or platforms are involved. Clear manageability and orchestration expectations may reduce deployment risk, support operational control, and make it easier to compare technical solutions. For computing and processing applications, a defined standard can also help teams maintain performance and reliability across distributed infrastructure.

• Edge and fog manageability
• Orchestration of distributed resources
• Computing and processing context
• Integration across heterogeneous systems
• Operational consistency and control