# Queuing Analysis by Stallings W.

By Stallings W.

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Extra info for Queuing Analysis

Example text

In a communications context, sampling done during one time of day may not reflect the activity at another time of day. If we are concerned to design a system that will handle the peak load that is likely to be experienced, then we should observe the traffic during the time of day that is most likely to produce the greatest load.

Of the mean and standard deviation of the sample mean, or even of the entire probability distribution of the sample mean. It follows that the probabilistic nature of our estimated values is a source of error, known as sampling error. In general, the greater the size of the sample taken, the smaller the standard deviation of the sample mean, and therefore the closer that our estimate is likely to be to the actual mean. By making certain reasonable assumptions about the nature of the random variable being tested and the randomness of the sampling procedure, one can in fact determine the probability that a sample mean or sample standard deviation is within a certain distance from the actual mean or standard deviation.

If we are concerned to design a system that will handle the peak load that is likely to be experienced, then we should observe the traffic during the time of day that is most likely to produce the greatest load.