Example 12.7. What happens to the blocking probabilities in Figure 12.6a and b discussed in Example 12.6 when the traffic intensity increases by 50%? Solution. If the traffic intensity of each group increases from 2.2 to 3.3 erlangs, the blocking probability of the configuration of Figure 12.6a increases from 5% to almost 14%. In the configuration of Figure 12.6b a 50% increase in the traffic intensity causes a 400% increase in the blocking probability (from 5 to 20%). Example 12.6. Four clusters of data terminals are to be connected to a computer by way of leased circuits, as shown in Figure 12.6. In Figure 12.6a the traffic from the clusters uses separate groups of shared circuits. In Figure 12.6b the traffic from all clusters is concentrated onto one common group of circuits. Determine the total number of circuits required in both cases when the maximum desired blocking probability is 5%. Assume that 22 terminals are in each cluster and each terminal is active 10% of the time. (Use a blocked calls cleared analysis.) (a) CPU CPU 13 Channels 20 Channels (b) Figure 12.6 Data terminal network of Example 10.6: (a) four separate groups; (b) all traffic concentrated into one group.

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I just want a clarification how to measure the increase 

figure 12.6a has 2.2 erlangs and 20 circuits 

figure 12.6b has 8.8 erlangs and 13 cir

Example 12.7.
What happens to the blocking probabilities in Figure 12.6a and b
discussed in Example 12.6 when the traffic intensity increases by 50%?
Solution. If the traffic intensity of each group increases from 2.2 to 3.3 erlangs, the
blocking probability of the configuration of Figure 12.6a increases from 5% to almost
14%.
In the configuration of Figure 12.6b a 50% increase in the traffic intensity causes
a 400% increase in the blocking probability (from 5 to 20%).
Transcribed Image Text:Example 12.7. What happens to the blocking probabilities in Figure 12.6a and b discussed in Example 12.6 when the traffic intensity increases by 50%? Solution. If the traffic intensity of each group increases from 2.2 to 3.3 erlangs, the blocking probability of the configuration of Figure 12.6a increases from 5% to almost 14%. In the configuration of Figure 12.6b a 50% increase in the traffic intensity causes a 400% increase in the blocking probability (from 5 to 20%).
Example 12.6.
Four clusters of data terminals are to be connected to a computer by
way of leased circuits, as shown in Figure 12.6. In Figure 12.6a the traffic from the
clusters uses separate groups of shared circuits. In Figure 12.6b the traffic from all
clusters is concentrated onto one common group of circuits. Determine the total
number of circuits required in both cases when the maximum desired blocking
probability is 5%. Assume that 22 terminals are in each cluster and each terminal is
active 10% of the time. (Use a blocked calls cleared analysis.)
(a)
CPU
CPU
13 Channels
20 Channels
(b)
Figure 12.6 Data terminal network of Example 10.6: (a) four separate groups; (b) all traffic
concentrated into one group.
Transcribed Image Text:Example 12.6. Four clusters of data terminals are to be connected to a computer by way of leased circuits, as shown in Figure 12.6. In Figure 12.6a the traffic from the clusters uses separate groups of shared circuits. In Figure 12.6b the traffic from all clusters is concentrated onto one common group of circuits. Determine the total number of circuits required in both cases when the maximum desired blocking probability is 5%. Assume that 22 terminals are in each cluster and each terminal is active 10% of the time. (Use a blocked calls cleared analysis.) (a) CPU CPU 13 Channels 20 Channels (b) Figure 12.6 Data terminal network of Example 10.6: (a) four separate groups; (b) all traffic concentrated into one group.
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