Networks of Queues and Optimal Routing Flashcards
What does Little’s Theorem express?
Crowded systems (large N) are associated with long customer delay (large T)
What is Little’s theorem?
N = lambda* T
N(t) = number of customers at time t
lambda = time average arrival rate over t
T = time it takes for an average customer to be processed
How is N in Little’s theorem defined?
N is the time average of N(t) up to time t:
N = 1/t * integral from 0 to t of N(tau) d(tau)
How is lambda in Little’s theorem defined?
Time average arrival rate over [0,t]
lambda = alpha(t)/t
where :
alpha(t) = number of customers who arrived in time [0,t)
How is T in Little’s theorem defined?
Time average of customer delay up to time t
T = (sum from i = 0 to alpha(t) of Ti)/t
t = time
alpha(t) = number of customers who arrived in time [0,t)
What are the 4 sources of packet network delay?
- nodal processing
- queueing delay
- transmission delay
- propagation delay
If you are given lambda for packet arrival rate, how do you calculate average interval time of that link?
= 1/lambda
In studying queueing delay of a system - what doe lambda and mu, C, and mu*C represent?
lambda - packet arrival rate (inverse of average interarrival time) (packets/s)
mu - packet service rate (inverse of average service time)
C - Transmission speed link (bits/s)
muC = Service rate (packets/s)
How to calculate utilisation factor of a link?
rho = lambda/mu
rho : utilisation factor
lambda: packet arrival rate
mu: packet service rate
What is meant by utilisation of a server?
Proportion of time that that server is busy
How to calculate average number of customers q in system i?
q = lambda/(mu-lambda)
q: average num. of customers
lambda: packet arrival rate
mu: packet service rate
How to calculate average delay per customers waiting in the queue? And what is to note?
t = q/lambda = rho/(lambda*(1-rho)) = 1/(mu-lambda)
q: average num. of customers
rho : utilisation factor
lambda: packet arrival rate
mu: packet service rate
TO NOTE:
q = lambda * t ( This is Little’s theorem where Q = N, t = T and lambda is lambda)
When is queue equilibrium reached?
If mean departure rate and mean arrival rate are the same - the queue is in EQUILIBRIUM
When merging two independent poisson streams what is the value of their new constant?
lambda 1 + lambda 2
When splitting a Poisson stream how are they split?
lambda split into p1lambda , p2lambda …. pklambda
- where p1+p2+p3+…+pk = 1