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Up to this point we have discussed queuing models which are in equilibrium, so that within all intervals considered, the service rate was adequate to provide the requested services In many systems, however, there will be certain periods where the rate of arrival of requests for service, , exceeds the service capacity, Such a period is called a transient, since it can only be a temporary situation; a situation where the average rate of arrivals, , remains greater than is of course intolerable Examples in Sec 6-3 have demonstrated how rapidly the expected queue length and the wait time, w, can rise as the utilization factor, uf = / , approaches one If later , the queues will empty and w 0 Unused computing capacity is a very perishable commodity; it cannot be put into a bank to provide later bene ts Transients are fairly di cult to analyze using the probabilistic techniques used earlier, so that graphic constructions based on ow concepts will be used here We will consider now only the part of a queue due to overload and not the part of the queue which is generated because of the delays caused by seek and rotational latency Figure 6-16 shows the cumulative arrivals as line A and the cumulative service requests which are being processed as line D Processing of requests (D) is limited both by the slope giving the service rate capacity and by the arrival of requests, A The space between A and D depicts the queue which is generated The queue begins forming at t = t0 where for the rst time the instantaneous arrival rate (t) > At t2 the arrival rate has subsided and (t) = , but the queue has yet to be worked o The queue will not be reduced to zero until time t3 , where D, continued at angle from t0 , intersects A The average rate of arrivals during the total transient between t0 and t3 is equal to , but the overall in the cycle of tc is less than the available service rate The values are given below If the shape of the arrival distribution, A, is known, a graphical construction can provide the desired values of queue lengths This graph can easily be interpreted, for instance, for a FIFO scheduling discipline the waiting time for an arrival at ti , when the queue length is qi , is indicated by line wi In order to treat a transient analytically, an assumption regarding its shape has to be made The simplest relationship which can describe a cyclic transient of (t) is a sine curve In Fig 6-17 we show this curve with a basic cycle of 100 s To this curve are applied three arrival and service parameters, as listed Figure 6-16 shows the queue beginning to form at t0 , where (t) = Substitution of this value in the sine-wave equation for (t) allows computation of this point The arrival rate is maximal at t1 = tc /4 Symmetry about t1 determines t2. .net upc-a reader . NET Barcode Reader Library | C# & VB. NET UPC-A Recognition ...
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