New, special in-depth use cases available for download.
These vertical market use cases, created by OpenFog members and contributors, showcase how fog works in industry. They were designed to provide architects with a resource that has enough detail to plan and design a fog implementation and extract high-level requirements. Please fill out the form below for access to all of these use case studies.
Subsurface imaging and monitoring in real time is crucial for understanding subsurface structures and dynamics that may pose risks or opportunities for oil, gas and geothermal exploration and production. This use case describes an architecture for integrating IoT sensor networks with fog computing and geophysical imaging technology. Fog’s scalability enables real-time computation in remote field locations, including support for complex compute algorithms.
Today’s smart buildings are leveraging the IoT for improved business outcomes, such as better energy efficiency, improved occupant experience, and lower operational costs. They require distributed fog architectures because they typically contain thousands of sensors measuring various building operating parameters such as: temperature, humidity, occupancy, energy usage, keycard readers, parking space occupancy, fire, smoke, flood, security, elevators, and air quality. This use case demonstrates how fog nodes at the room level, floor level, building level and cloud level can be hierarchically architected for efficient real-time processing, enabling dozens of new applications.
Autonomous Driving, which involves hundreds and hundreds of simultaneous data processes and connections, can’t be accomplished without fog. Fog establishes trustworthiness of communications between low-level sensors while enabling high-bandwidth real-time processing. This use case validates how fog architectures for autonomous cars enable significantly greater scalability than any other architecture. Fog interoperability enables on-board equipment to communicate at a variety of hierarchies while providing standard interfaces that will provide a foundation for the fog ecosystem.
With its real-time communications and analytics requirements for data from thousands of low-level sensors, today’s hospital patient monitoring requires the scalability and agility of fog. Fog’s distributed architecture and hierarchical structure are necessary for moment-to-moment healthcare operations. This use case describes an architecture based on a virtual compute environment residing on a series of fog nodes that supports the flexible deployment of applications and streamlines the integration of healthcare systems.