Sentence examples for mean queue delay from inspiring English sources

The mean queue delay of CSCPS is 0.262 s.

The mean queue delay of SBFA is 0.272 s which is the highest among the three algorithms.

The mean queue delay of CIFQ is 0.25 s which is the lowest among the three algorithms, but there is only a 77% difference between the instantaneous and mean of queue delays within 0.01 s.

There is an 81% difference between the instantaneous and mean queue delays within 0.01 s.

There is a 99% difference between the instantaneous and mean queue delays within 0.01 s which is the highest percentage among three algorithms.

In these models, traffic arrival processes are represented, respectively, by non-bursty Poisson process and bursty-correlated Markov-Modulate Poisson Process (MMPP) and new closed-form expressions of main performance metrics are derived including system fairness, mean number of packets in each buffer, system throughput, mean queueing delay and packet loss probability of individual traffic flows.

Note that if reducing the batch (customer) loss probability is performed by increasing the storage requirement then it also implies the increasing of mean queue length and through it the mean queueing delay, especially in the case of heavy traffic load.

Then, the average queuing delay is (4).

The mean of queue delay of CSCPS is only 0.262 s, which is lower than other algorithms.

Lower mean, variance, and standard deviation of queue delay represent a steadier queue delay for the algorithm.

Table 3 Queue delay statistics for the flows   Maximum Minimum Mean CBR1 0.147 0.008 0.1 CBR2 0.232 0.005 0.17 CBR3 0.394 0.01 0.26 Figure 10 Instantaneous throughputs of three flows in two-state channel model.