The phrase "a traffic rate" is correct and usable in written English.
It can be used when discussing the frequency or volume of traffic, often in contexts related to transportation, data transfer, or network performance.
Example: "The city has implemented new measures to reduce a traffic rate that has been steadily increasing over the past few years."
Alternatives: "traffic volume" or "traffic flow rate".
In this respect, the effect of increasing a traffic rate is almost identical to that of increasing a network scale given a fixed traffic rate.
In order to analyze the impact of increasing a traffic rate on the BF all) performance, we also measured the BF all) value of the compared protocols using different R values in the grid scenario where N was set to 20.
This approach allowed us to convert to emission factors the concentration measurements given in the "opportunistic" studies carried out in the same tunnel in year, t = "2", using the following equation where Ef(t) is an emission factor, N t) is a traffic rate (vehicles/min), and C t) is a BaP tunnel concentration.
With the same ANASS, the network in the case of a higher traffic rate has less available bandwidth; as a result, more flows cannot receive adequate bandwidth.
Compared with the Far traffic case, for a given traffic rate, the total traffic of the DCN is approximately half of that in the Far traffic scenario.
GSSMS can save more energy for Half-Far/Half-Near traffic at a given traffic rate because Half-Far/Half-Near traffic has lower traffic routing through Spine switches.
The simulations for Sine-Wave-Far (Sine-Far) and Sine-Wave-Half-Far/Half-Near (Sine-Half/Half) traffic produce similar results, except that the value of ANASS and PF at a given traffic rate is smaller than that for the Uniform-Far and Uniform-Half/Half scenarios.
The proposed scenario corresponds to an average input traffic rate of 14.868 Mbps.
Therefore, we simulate a loaded network with 4 Ice, 4 News, 4 Soccer, and 4 Crew video streaming users corresponding to an input average traffic rate of 14 Mbps (4.66 bit/s/Hz).
We simulate 18 video flows (9.54 Mbps), 27 VoIP flows (1.728 Mbps), and 9 best-effort flows (3.6 Mbps) corresponding to a total average input traffic rate of 14.868 Mbps.
Correction for ventilation from the movement of vehicles, the so-called, "piston effect," was made using a function of the traffic rate.
