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Quasireversibility
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In queueing theory, a discipline within the mathematical theory of probability, quasireversibility (sometimes QR) is a property of some queues. The concept was first identified by Richard R. Muntz[1] and further developed by Frank Kelly.[2][3] Quasireversibility differs from reversibility in that a stronger condition is imposed on arrival rates and a weaker condition is applied on probability fluxes. For example, an M/M/1 queue with state-dependent arrival rates and state-dependent service times is reversible, but not quasireversible.[4]
A network of queues, such that each individual queue when considered in isolation is quasireversible, always has a product form stationary distribution.[5] Quasireversibility had been conjectured to be a necessary condition for a product form solution in a queueing network, but this was shown not to be the case. Chao et al. exhibited a product form network where quasireversibility was not satisfied.[6]
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Definition
A queue with stationary distribution is quasireversible if its state at time t, x(t) is independent of
- the arrival times for each class of customer subsequent to time t,
- the departure times for each class of customer prior to time t
for all classes of customer.[7]
Partial balance formulation
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Perspective
Quasireversibility is equivalent to a particular form of partial balance. First, define the reversed rates q'(x,x') by
then considering just customers of a particular class, the arrival and departure processes are the same Poisson process (with parameter ), so
where Mx is a set such that means the state x' represents a single arrival of the particular class of customer to state x.
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Examples
- Burke's theorem shows that an M/M/m queueing system is quasireversible.[8][9][10]
- Kelly showed that each station of a BCMP network is quasireversible when viewed in isolation.[11]
- G-queues in G-networks are quasireversible.[12]
See also
References
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