Edge computing

A distributed computing paradigm bringing computation and data storage closer to the sources of data, often at the “edge” of the network, to improve response times (latency?) and save bandwidth. This contrasts with traditional cloud computing, where data is processed in centralised data centres.

• [⎈] Consider parallels with the emergence of distributed telephone exchanges, after central exchanges became a bottleneck.
• [?] How does the decentralisation in edge computing compare to other historical shifts towards localised control?
• [?] What are the key benefits and trade-offs of processing data at the “edge”? When is edge computing most useful?

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: Time-sharing