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SOLUTIONS MANUAL for Stochastic Modeling: Analysis and ...

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100 CHAPTER 8. QUEUEING PROCESSES<br />

(e) Let the reneging rate be β =1/5 call/minute = 12 calls/hour <strong>for</strong> customers on<br />

hold.<br />

with µ = 20.<br />

µ i =<br />

{<br />

iµ, i =1, 2<br />

2µ +(i − 2)β, i =3, 4,...<br />

(f) l q = ∑ ∞<br />

j=3 (j − 2)π j<br />

There<strong>for</strong>e, we need the π j <strong>for</strong> j ≥ 3.<br />

⎧<br />

⎨<br />

d j =<br />

⎩<br />

(λ/µ) j<br />

j!<br />

, j =0, 1, 2<br />

2µ 2 ∏ j<br />

i=3<br />

λ j<br />

(2µ+(i−2)β),<br />

j =3, 4,...<br />

1<br />

π 0 = ∑ ∞j=0<br />

dj ≈ 1<br />

∑ 20<br />

j=0 dj ≈ 1<br />

2.77 ≈ 0.36<br />

since ∑ n<br />

j=0 d j does not change in the second decimal place after n ≥ 20.<br />

There<strong>for</strong>e<br />

20<br />

∑<br />

l q ≈ (j − 2)π j ≈ 0.137 calls on hold<br />

j=3<br />

11. (a) M = {0, 1, 2,...,k+ m} is the number of users connected or in the wait queue.<br />

λ i = λ, i =0, 1,...<br />

{<br />

iµ, i =1, 2,...,k<br />

µ i =<br />

kµ +(i − k)γ, i = k +1,k+2,...,k+ m<br />

(b) l q = ∑ m<br />

j=k+1 (j − k)π j<br />

(c) λπ k+m (60 minutes/hour)<br />

(d) The quantities in (b) <strong>and</strong> (c) are certainly relevant. Also w q , the expected time<br />

spent in the hold queue.<br />

12. We approximate the system as an M/M/3/20/20 with τ = 1 program/minute, <strong>and</strong> µ<br />

= 4 programs/minute<br />

λ i =<br />

µ i =<br />

{<br />

(20 − i)τ, i =0, 1,...,19<br />

0, i =20, 21,...<br />

{<br />

iµ, i =1, 2<br />

3µ, i =3, 4,...,20

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