Shanghai Jiao Tong University MG1 QUEUE Communication Networks
- Slides: 28
Shanghai Jiao Tong University M/G/1 QUEUE Communication Networks
M/G/1 Queue The M/G/1 queue Communication Networks 2
Pollaczek-Khinchin (P-K) Formula • Communication Networks 3
Evolution of M/G/1 Queues • General service time distribution → memory • Analysis technique of M/M/x cannot be applied to M/G/1 Departures Not memoryless Arrivals Communication Networks 4
Two Possible Methods to Solve M/G/1 • Embedded Markov Chain • Graphic method Communication Networks 5
State of M/G/1 Queues • Departures Residual service time Arrivals Communication Networks 6
Embedded Points • Departures Arrivals Communication Networks 7
Embedded Markov Chain • Communication Networks 8
• Communication Networks 9
• Communication Networks 10
Distribution at Embedded Points • Communication Networks 11
Distribution at Arbitrary Time Point • L. Kleinrock and R. Gail, “Queuing Systems: Problems and Solutions”, Problem 5. 6, John Wiley & Sons, 1996 Communication Networks 12
Two Possible Method to Solve M/G/1 • Embedded Markov Chain • Graphic method Communication Networks 13
• Communication Networks 14
• Communication Networks 15
• Communication Networks 16
• Communication Networks 17
• Communication Networks 18
Stable Condition of M/G/1 Queues • Communication Networks 19
Examples • Communication Networks 20
M/M/1 vs. M/D/1 Communication Networks 21
M/G/1 with Vacations • Once the system becomes empty, the server takes a vacation – If system is still empty after the vacation, the server takes another vacation – Useful in analyzing some polling and reservation systems • Vacation times are i. i. d. and independent of service times and arrival times • The only impact on analysis is that a customer may enter to find the server on vacation, and must wait until end of that vacation Communication Networks 22
• Communication Networks 23
• Communication Networks 24
Example: Slotted M/D/1 system • Communication Networks 25
Homework Communication Networks 26
Homework Communication Networks 27
Homework Communication Networks 28
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