An ordered state records the classes and positions of customers at a single server. Class- arrivals have rate and exponential service parameter . Under a symmetric service discipline, its stationary distribution is , where . If every , class-independent insertion and service position rules need not be equal: time reversal of a continuous-time Markov chain interchanges them and proves the same law. Aggregating words gives by the multinomial coefficient. With class-dependent service rates, first come first served need not have this product law.
Assume independent stationary Compound Poisson process inputs, preemptive-resume priority for voice, first come first served within each class, capacity , a shared buffer of units of work, packet sizes bounded by , and voice delay gate . Write and . For flows with per-flow effective bandwidths , the continuous-time exponential workload bound givesprovided and . To prove this, couple with the unthinned infinite-buffer aggregate and voice queues driven by the same offered packets. Dropping work reduces both the total and voice workloads under this service discipline. A buffer-fit failure implies total workload greater than , and a voice-gate failure implies voice workload at least . Apply the two bounds and a union bound; Poisson arrivals see time averages converts stationary prearrival probabilities to offered-packet loss fractions. For target losses , choose and , then setThe two effective bandwidth constraints, together with strict aggregate mean-load stability, define a sufficient integer admission region. Voice loss includes the shared-buffer term, even though data packets have lower service priority.
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