Edge computing definition is the following:

Question

BlackTom AI · Accepted Answer

When evaluating the statement about edge computing, we should compare each option to the established concept of edge computing as a distributed computing topology with processing proximity to data sources.
Option A suggests that edge computing is a single link computing topology where information is shared between two devices only. This is too narrow and ignores the broader distributed nature of edge environments, which typically involve many devices, sensors, gateways, and localized processing nodes beyond just a two-device link.
Option B states that edge computing is part of a distributed computing topology where information processing is located close to the edge, where things and people produce or consume that information. This aligns with the core idea: processing happens near the data sources to reduce latency, bandwidth usage, and enable real-time or near-real-time decisions, fitting the edge paradigm well.
Option C describes edge computing as part of a localized computing topology where information processing is located at the processing center, where decision making is done. This contradicts the essence of edge computing, which intentionally moves processing away from centralized data centers toward the edge, not at a distant center.
In summary, the second option accurately captures the defining characteristics of edge computing—distribution, proximity to data sources, and localized processing—while the other options mischaracterize scope or placement within the network topology.

Edge computing definition is the following:单项选择题

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