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formula of Little is easiest understood (and reconstructed) when imagining that each customer pays money to the system manager according to some non-discrimination rule Then it is intuitively obvious that the long-run average reward per time unit earned by the system = (the long-run average arrival rate of paying customers) (233) (the long-run average amount received per paying customer) In regenerative queueing processes this relation can often be directly proved by using the renewal-reward theorem; see Exercise 226 Taking the money principle (233) as starting point, it is easy to reproduce various representations of Little s law To obtain (231), imagine that each customer pays $1 per time unit while waiting in queue Then the long-run average amount received per customer equals the long-run average time in queue per customer (= Wq ) On the other hand, the system manager receives $j for each time unit that there are j customers waiting in queue Hence the long-run average reward earned per time unit by the system manager equals the long-run average number of customers waiting in queue (= Lq ) The average arrival rate of paying customers is obviously given by Applying the relation (233) gives next the formula (231) The formula (232) can be seen by a very similar reasoning: imagine that each customer pays $1 per time unit while in the system Another interesting relation arises by imagining that each customer pays $1 per time unit while in service Denoting by E(S) the long-run average service time per customer, it follows that the long-run average number of customers in service = E(S) (234) how to read pdf file in asp.net c# C# Read PDF SDK: Read , extract PDF text, image contents from ...
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