IoT システムにおけるエッジコンピューティングに関する記述として, 最も適切なものはどれか。
令和5年度 ITパスポート試験 問71
This question's explanation and your answers so far.
問 71
- ア
正解 The correct answer is ア. Edge computing is an approach in which the data generated by IoT devices is processed as much as possible near the devices (the edge equipment on the site side) before it is sent to the IoT server in the cloud. This reduces both the amount of data sent to the server and the communication and processing load, and it also keeps response latency small. Choice ア states that “in order to reduce the server load caused by the increase in IoT devices, processing is done close to the devices,” which matches exactly this very definition.
Incorrectイ
“Bundling multiple transactions at fixed time intervals and embedding the hash value of the immediately preceding data so that the data are chained together and tampering becomes difficult” describes a blockchain, not edge computing.
Incorrectウ
Using, from a remote location, the computing resources aggregated on a data center at the far end of the network describes cloud computing. Because it “aggregates processing at a central data center,” it is the opposite idea to edge computing, which “distributes processing to the site side.”
Incorrectエ
Having a computer acquire new knowledge or rules from input data without explicit programming describes machine learning, and is unrelated to edge computing.
- Edge computing = a distributed processing approach that performs processing on the site (edge) side where data is generated, curbing concentration toward the cloud/server as well as communication load and latency.
- It is the counterpart to the cloud, which “aggregates resources in a data center for remote use.” The point being tested is not to confuse it with the term definitions of blockchain (イ) and machine learning (エ).