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People are often concerned about measuring the maximum data throughput in bits per second of a communications link or network access. A typical method of performing a measurement is to transfer a 'large' file from one system to another system and measure the time required to complete the transfer or copy of the file.
The system throughput or aggregate throughput is the sum of the data rates that are delivered over all channels in a network. [1] Throughput represents digital bandwidth consumption. The throughput of a communication system may be affected by various factors, including the limitations of the underlying physical medium, available processing ...
Link throughput ≈ Bitrate × Transmission time / roundtrip time. The message delivery time or latency over a network depends on the message size in bit, and the network throughput or effective data rate in bit/s, as: Message delivery time = Message size / Network throughput
The area required to calculate the volumetric flow rate is real or imaginary, flat or curved, either as a cross-sectional area or a surface. The vector area is a combination of the magnitude of the area through which the volume passes through, A , and a unit vector normal to the area, n ^ {\displaystyle {\hat {\mathbf {n} }}} .
To increase the passenger throughput, many systems can be reconfigured to change the direction of the optimized flow. A common example is a railway or metro station with more than two parallel escalators, where the majority of the escalators can be set to move in one direction. This gives rise to the measure of the peak-flow rather than a ...
Here is the formal definition of each element (where the only difference with respect to the nonfeedback capacity is the encoder definition): W {\displaystyle W} is the message to be transmitted, taken in an alphabet W {\displaystyle {\mathcal {W}}} ;
In transportation engineering, traffic flow is the study of interactions between travellers (including pedestrians, cyclists, drivers, and their vehicles) and infrastructure (including highways, signage, and traffic control devices), with the aim of understanding and developing an optimal transport network with efficient movement of traffic and minimal traffic congestion problems.
The maximum flow problem can be seen as a special case of more complex network flow problems, such as the circulation problem. The maximum value of an s-t flow (i.e., flow from source s to sink t) is equal to the minimum capacity of an s-t cut (i.e., cut severing s from t) in the network, as stated in the max-flow min-cut theorem .