Question at position 32 Which IoT delivery model brings computation closest to the devices that generate the data?Cloud computingBatch computingEdge computingMainframe computing单项选择题
A
Cloud computing
B
Batch computing
C
Edge computing
D
Mainframe computing

Question

Question at position 32 Which IoT delivery model brings computation closest to the devices that generate the data?Cloud computingBatch computingEdge computingMainframe computing

BlackTom AI · Accepted Answer

Edge computing places computation and data storage physically at or very near the devices that generate the data, minimizing latency and bandwidth use.

1. Relevant knowledge points and concepts
- Edge computing: processing performed at the network edge (on or near IoT devices, gateways, or local servers).
- Cloud computing: centralized processing in remote data centers accessed over the internet.
- Batch computing: non-real-time processing of collected data in large groups, typically scheduled.
- Mainframe computing: centralized, powerful on-premises systems for large-scale centralized workloads.
- Important criteria for “closest to devices”: physical location of compute resources, network hops, response latency, bandwidth consumption, and ability to operate disconnected or with intermittent connectivity.

2. Step-by-step reasoning process
Step 1: Identify where computation occurs for each model.
- Edge: on-device or on local gateways/edge servers.
- Cloud: distant data center, multiple network hops away.
- Batch: data aggregated and sent for later off-line processing (location often remote).
- Mainframe: centralized on-prem servers, not on-device.
Step 2: Compare physical proximity to IoT devices: edge is co-located or within the same local network; others are remote.
Step 3: Compare latency and bandwidth implications: edge minimizes latency and reduces upstream bandwidth; the others increase latency and bandwidth needs.
Step 4: Determine which model “brings computation closest” — edge fits this definition directly.

3. Intermediate steps / checks
- Example: a smart camera that performs real-time inference on footage must process frames locally (edge) to meet latency requirements; sending every frame to cloud or batch-processing would be slower and bandwidth-intensive.

4. Why the correct answer is correct
Edge computing intentionally locates compute resources at or near data sources to enable real-time processing, reduced latency, lower bandwidth usage, and resilience to network outages—precisely “bringing computation closest to the devices.”

5. Why other options are incorrect
- Cloud computing: remote, not closest to devices.
- Batch computing: deferred, not real-time or colocated.
- Mainframe computing: centralized large systems, not distributed at device-level.

6. Conclusion
Therefore, the correct IoT delivery model that brings computation closest to the devices that generate the data is Edge computing, matching the provided answer.

Question at position 32 Which IoT delivery model brings computation closest to the devices that generate the data?Cloud computingBatch computingEdge computingMainframe computing单项选择题

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