I'm trying to understand the trade‑offs between processing IoT sensor streams on the edge versus sending them to a central cloud service. Specifically, how do latency, bandwidth usage, and scalability compare in typical deployments? Are there scenarios where a hybrid approach makes more sense, and what factors should guide the decision? Would love to hear experiences or theoretical insights from the community.
Edge computing vs cloud processing in IoT: which is better for real‑time data handling?
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Edge processing slashes latency and bandwidth because data never leaves the device, but it’s limited in compute power and harder to scale globally, whereas cloud processing offers virtually unlimited resources and easier horizontal scaling at the cost of higher round‑trip latency and network usage. In practice a hybrid model—pre‑filtering or aggregating on the edge and sending only critical or summarized data to the cloud—works best when you need real‑time responses locally but also want centralized analytics, long‑term storage, and machine‑learning models.