Transforms Derivation of Burke’s Theorem In an M/M/1, when the server is busy, jobs depart at rate μ. However, when the M/M/1 is idle, then no jobs depart. Thus, the interdeparture times are either...



Transforms Derivation of Burke’s Theorem


In an M/M/1, when the server is busy, jobs depart at rate μ. However, when the


M/M/1 is idle, then no jobs depart. Thus, the interdeparture times are either distributed Exp(μ) (when the server is busy), or Exp(λ) + Exp(μ) (when idle) –


this latter term comes from having to wait for an arrival and then for that arrival


to depart. It is not at all clear how having interarrival times switch between


these modes could form a Poisson(λ) departure process.


Let T denote the time between departures. Prove that T ∼ Exp(λ) by deriving


its Laplace transform via conditioning.



Jan 05, 2022
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