Augmented reality, fog, and vision: Duke professor outlines importance of smart architectures | Virtual Reality

An academic researcher’s talk on Monday at the World Congress in San Francisco demonstrated both the limits of distributed computing structures and their critical to future IoT and implementations.

Dr. Maria Gortalova’s recent work has centered on the study of fog and edge architecture – specifically, the way in which particular methods of architecting those systems can affect latency and response time. She’s studying the differences in systems which are on- and off-campus, that have different points of execution, which seems like the academic way of saying “where the computational work is done.”

The difference between the cloud – a highly centralized architecture – and fog computing, the industry’s current term of art for systems that have the abstracted nature of the cloud, but do their actual work much closer to the endpoint than the cloud’s faraway data centers – is immense. Both fog and its close cousin edge computing are useful alternatives to the cloud architecture.

“Fundamentally, our new devices that are generating high-bandwidth traffic and high-volume, high-velocity data just cannot afford to transfer all of the data to a centralized hub for processing,” Gortalova said.

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