Construct · 3 fields · 5 citations

Where does throughput collide?

One name. Different field. Different construct. One map.

● jingle · one word, three constructs Nearest construct by meaninginformation overloadcompare the meanings
How to read this

Every construct on the map is compared with every other by the meaning of its definitions, and the closest one is surfaced here. The nearest construct to throughput is information overload.

Hold this as a prompt, not a verdict. Two constructs sitting close in meaning is a reason to read them side by side and decide for yourself whether they are one idea under two names. It is not proof that they are. Compare the meanings in the Collider.

throughput3 CONSTRUCTSNetwork throughputMATHIS · BITS DELIVEREDThroughput (TOC)GOLDRATT · UNITS SOLDChannel capacityHICK · BITS PER SECOND

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2026

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Computer networking and systems

the actual rate at which data is successfully delivered or processed, as opposed to a link's theoretical maximum bandwidth.

The actual rate at which data is successfully delivered across a channel or processed by a system, measured in bits per second or transactions per second, as opposed to bandwidth, the theoretical maximum capacity of the link. Mathis, Semke, Mahdavi, and Ott's 1997 analysis derived the throughput of a TCP connection under congestion avoidance, showing it falls with the round-trip time and with the square root of the packet-loss rate. The referent is an achieved delivery rate under real conditions, not a raw capacity, a count of units off a production line, or a person's rate of taking in information.[1]

Unit
Successfully delivered or processed data per unit time, in bits or transactions per second
Recovery means
Not applicable
Measured by
Counted as delivered bits or completed transactions over an interval, using tools such as iperf, or predicted by fitting congestion models to observed loss and delay

Operations management

Rate a system generates output

The rate at which a production system generates output, counted as finished units per unit of time. In Eliyahu Goldratt's Theory of Constraints the meaning is sharper: throughput is the rate at which the organisation generates money through sales, so goods that pile up as unsold inventory do not count, and the whole system's throughput is governed by its single binding constraint. In queueing and factory-physics accounts it is one term of Little's law, which ties the average throughput of a stable system to its work-in-process and its cycle time. The referent is a rate of production or of money generation across a plant or firm, not bits crossing a wire or a mind's information rate.[2][3]

Unit
Output the system produces or sells per unit time, in units or money per hour
Recovery means
Not applicable
Measured by
Counted as finished, sold units over a period, or inferred from work-in-process and cycle time through Little's law

Cognitive psychology

the rate at which a person takes in information and acts on it, viewing the human as a limited-capacity channel.

The rate at which a person can take in information and act on it, treated as the throughput of the human viewed as a limited-capacity information channel and expressed in bits per second. Hick's 1952 study showed that choice reaction time rises with the logarithm of the number of alternatives, so the rate of gain of information stays roughly constant, a human analogue of channel capacity. Miller's 1956 review set a related limit on how many items a person can hold and judge at once. The referent is the throughput of a mind processing stimuli, not data delivered over a network or units leaving a production line.[4][5]

Unit
Information a person takes in and acts on per unit time, in bits per second
Recovery means
Not applicable
Measured by
Estimated from choice reaction times and error rates, fitting the slope that relates response time to the information content of the stimulus set

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Nearby collisions

capacity5 fields · 8 citationsjingle · one word, four limitsunit2 fields · 2 citationsjingle · one word, two constructsbandwidth3 fields · 4 citationsjingle · one word, three quantities

References

  1. Mathis, M., Semke, J., Mahdavi, J., & Ott, T. (1997). The macroscopic behavior of the TCP congestion avoidance algorithm. ACM SIGCOMM Computer Communication Review, 27(3), 67–82. https://doi.org/10.1145/263932.264023
  2. Goldratt, E. M., & Cox, J. (1984). The goal: A process of ongoing improvement. North River Press. ISBN 978-0-88427-060-7
  3. Little, J. D. C. (1961). A proof for the queuing formula: L = λW. Operations Research, 9(3), 383–387. https://doi.org/10.1287/opre.9.3.383
  4. Hick, W. E. (1952). On the rate of gain of information. Quarterly Journal of Experimental Psychology, 4(1), 11–26. https://doi.org/10.1080/17470215208416600
  5. Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. https://doi.org/10.1037/h0043158

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