ITPEC IP October 2025 Question 34

Processing as much data as possible close to the IoT devices — edge computing keeps the load on the IoT servers down as the number of devices grows.

Sending every sensor reading to a central server adds network delay and load that grow with each new device. Edge computing places processing at the edge of the network, in a gateway or local server beside the devices, to filter, aggregate or act on the data at once; only results or summaries travel on to the server. That also suits real-time uses such as factory control and vehicles.

Answer (a)

Why not others:

• •(b) — blocks of transactions chained by the hash of the previous block, so tampering is hard to hide, is blockchain
• •(c) — resources aggregated in a data center and used remotely over the network is cloud computing, the centralised model edge computing offloads
• •(d) — a computer acquiring knowledge and rules from data without explicit programming is machine learning

Key rule: Edge computing is about where processing happens, near the data source for low latency and less traffic; the cloud centralises processing for scale, and the two are usually combined.

System Component · AI-written, may contain errors