| 1 |
8/15 |
M |
Chpt 1: Motivating Examples on Queueing Theory. |
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| 2 |
8/17 |
W |
Chpt 2: Queueing Theory Notation/Vocabulary. |
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| 3 |
8/22 |
M |
Chpt 4: Simulating Random Variables |
HW 1 Due |
| 4 |
8/24 |
W |
Chpt 5: Convergence of Random Variables and Time Average versus Ensemble Average. |
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| 5 |
8/29 |
M |
Chpt 6: Operational Laws (Little’s Law) |
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| 6 |
8/31 |
W |
Chpt 7: Modification Analysis |
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| |
9/5 |
M |
LABOR DAY, NO CLASS |
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| 7 |
9/7 |
W |
Chpt 8: Discrete-time Markov Chains |
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| 8 |
9/12 |
M |
Chpt 9: Ergodicity - Finite-state DTMCs |
HW 2 Due |
| 9 |
9/14 |
W |
Chpt 10: More DTMCs |
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| 10 |
9/19 |
M |
Chpt 11: Exponential Distribution |
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| 11 |
9/21 |
W |
Chpt 11: Poisson Process |
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| |
9/26 |
M |
NO CLASS |
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| 12 |
9/28 |
W |
Chpt 12,13: M/M/1 |
HW 3 Due |
| 13 |
10/3 |
M |
Chpt 14: M/M/k |
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| 14 |
10/5 |
W |
Chpt 15: Capacity Provisioning |
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| 15 |
10/10 |
M |
Chpt 20: Pareto Distribution |
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| |
10/12 |
M |
NO CLASS |
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| 16 |
10/17 |
W |
Chpt 21: Phase-type distributions + start Chpt23 |
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| 17 |
10/19 |
M |
Chpt 23: M/G/1 |
HW 4 Due |
| 18 |
10/24 |
W |
Towards Optimality in Parallel Job Scheduling (Berg et al.) |
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| 19 |
10/26 |
M |
Paper Discussions |
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| 20 |
10/31 |
W |
- |
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| 21 |
11/2 |
M |
- |
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| 22 |
11/7 |
W |
- |
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| 23 |
11/9 |
M |
- |
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| 24 |
11/14 |
M |
- |
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| 25 |
11/16 |
W |
- |
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| 26 |
11/21 |
M |
- |
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| |
11/23 |
W |
THANKSGIVING, NO CLASS |
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| 27 |
11/28 |
M |
- |
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| 28 |
11/30 |
W |
- |
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