12. Networks of Queues Flashcards
1
Q
N * M/M/1 System
A
- N different M/M/1 systems with individual queues
- q, rho, and lambda are divided by N per server
- q_total = N * q_individual
2
Q
M/M/N System
A
- N servers with a shared queue
- rho and lambda are divided by N per server
- Slightly faster than N * M/M/1 at intermediate arrival rates
3
Q
Pipelining
A
- System at steady state
- Rate in = rate out for every queue
- If the arrival process to a queue is Poisson, so is the departure process
4
Q
Splitting
A
- Path A is taken with probability p
- Path B is taken with probability 1- p
- If the arrivals are Poisson, a fixed portion p of arrivals on path A are Poisson
5
Q
Merging
A
- If two flows are joined, the resulting flow is the sum of the rates
- If the arrival rates are Poisson(a) and Poisson(b), the combined arrival rate is Poisson(a + b)
6
Q
Jackson’s Theorem
A
- System in steady state
- Outside arrivals are Poisson
- Service times are exponential
- All queues are infinite
- Theorem: in a network of queues, each queue can be analyzed in isolation