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A manufacturing plant in Pune installs smart sensors on machines that analyse vibration data locally on a nearby gateway device and send only alerts to the central cloud, to cut latency and bandwidth use. Which computing approach is this?

This is edge computing, because data is processed near its source on a local gateway and only alerts go to the central cloud. This lowers latency and bandwidth consumption. Grid computing, time-sharing or archiving do not describe local real-time processing of sensor data.

  1. AEdge computingCorrect
  2. BGrid computing
  3. CMainframe time-sharing
  4. DPublic cloud archiving

Explanation

Edge computing processes data close to its source, reducing latency and the volume sent to the central cloud. Grid computing pools distributed machines for a shared large task. Time-sharing and archiving do not describe local processing of sensor data at the network edge.

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