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Nov 18, 2011 · This means that when the server utilization is held constant, the marginal decrease in the probability that all servers are busy in the M/M/s ...
M/M/s queue, are convex in the number of servers when the server utilization is held constant. These results are useful in design studies involving capacity ...
This means that when the server utilization is held constant, the marginal decrease in the probability that all servers are busy in the M / M / s queue brought ...
This means that when the server utilization is held constant, the marginal decrease in the probability that all servers are busy in the M/M/s queue brought ...
Convexity Results for the Erlang Delay and Loss Formulae When the Server Utilization Is Held Constant. This paper proves a long-standing conjecture regarding ...
Convexity Results for the Erlang Delay and Loss Formulae When the Server Utilization Is Held Constant · Arie Harel. Mathematics. Oper. Res. 2011. TLDR. It is ...
Dec 4, 2009 · We show that the probability that the M/M/s queue is empty is a decreasing and convex function of the traffic intensity. We also give a very ...
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Apr 25, 2024 · Arie Harel: Convexity Results for the Erlang Delay and Loss Formulae When the Server Utilization Is Held Constant. Oper. Res.
We also give a very short proof to show that the Erlang delay formula is convex in the traffic intensity when the number of servers is held constant. The ...
"Convexity Results for the Erlang Delay and Loss Formulae When the Server Utilization Is Held Constant," Operations Research, INFORMS, vol. 59(6), pages ...