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Jackson's theorem (queueing theory) - Wikipedia, the free encyclopedia

Jackson's theorem (queueing theory)

From Wikipedia, the free encyclopedia

Jackson's theorem is the first significant development in the theory of networks of queues. It assumes an open queueing network of single-server queues with the following characteristics:

  • M = # of queues in the system, not counting queue 0 which represents the outside world
  • μi = service rate at queue i
  • λi = total rate at which jobs arrive at queue i
  • \forall i,1\leq i\leq M:\rho_i = utilization of the service at queue i = \frac {\lambda_i}{\mu_i} < 1
  • ni(t) =# of jobs in queue i at time t
  • n(t)=(n_1(t), n_2(t), \dots, n_M(t))^T= the system state at time t
  • P(k_1, k_2, \dots, k_M, t) = \Pr(n(t)=(k_1, k_2, \dots, k_M)^T)
  • P(k_1, k_2, \dots, k_M)=\lim_{t\to\infty}P(k_1,k_2,\dots,k_M,t)
  • Arrivals from the outside world are Poisson. All queues have exponential service time distributions.

[edit] Product form of Jackson's network

P(k_1,k_2,\dots,k_M)=\prod_{i=1}^{M}
\left[\left(\frac{\lambda_i}{\mu_i}\right)^{k_i}\left(1-\frac{\lambda_i}{\mu_i}\right)\right]
= \prod_{i=1}^{M}[(1-\rho_i)\rho_i^{k_i}]

(where \rho_i=\frac{\lambda_i}{\mu_i})

[edit] See also

[edit] External links


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