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Edge processing means performing data processing close to the source (IoT devices, sensors, gateways) to reduce latency, bandwidth use, and improve privacy. It shifts analytics, filtering and decisions from central cloud datacenters to local devices or edge nodes. Suitable for real‑time analytics, offline capabilities and more resilient distributed systems.
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It performs computation near the data source instead of sending everything to a central platform.
It grew from the tension between centralized processing and applications needing low latency, limited bandwidth, or intermittent connectivity.
Devices produce data, edge nodes filter or analyze it, and only selected results synchronize centrally. Local execution still needs updates and reconciliation.
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It fits sensors, vehicles, branches, and interactive systems. Many distributed devices increase operations and security work.
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