What is Edge Computing?
Edge Computing is an architecture where data processing occurs as close to the data source as possible – at gateways or industrial PCs rather than in a central cloud – enabling real-time decisions without cloud latency.
Technical Definition: An architecture where data processing occurs as close to the data source as possible, rather than in a central cloud. An edge device (gateway, industrial PC) pre-processes data locally – filtering, aggregating and analysing – before sending relevant results to the cloud.
Why it matters: For time-critical applications – safety functions, real-time control – latency to the cloud is too high. Edge computing ensures critical decisions are made locally, while cloud handles broader trend analytics.
HubMind’s view: Edge is not the opposite of cloud – it complements it. We design the right balance between edge processing and cloud analytics for each specific application and latency requirement.
External link: For critical functions in a facility – fire suppression, rapid pressure control – local edge processing ensures the system never depends on an internet connection.
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