SOLUTIONS MANUAL for Stochastic Modeling: Analysis and ...
SOLUTIONS MANUAL for Stochastic Modeling: Analysis and ...
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