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1 TCOM 501: Networking Theory & Fundamentals Lectures 9 & 10 M/G/1 Queue Prof. Yannis A. Korilis
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10-2 Topics M/G/1 Queue Pollaczek-Khinchin (P-K) Formula Embedded Markov Chain Observed at Departure Epochs Pollaczek-Khinchin Transform Equation Queues with Vacations Priority Queueing
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10-3 M/G/1 Queue Arrival Process: Poisson with rate λ Single server, infinite waiting room Service times: Independent identically distributed following a general distribution Independent of the arrival process Main Results: Determine the average time a customer spends in the queue waiting service (Pollaczek-Khinchin Formula) Calculation of stationary distribution for special cases only
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10-4 M/G/1 Queue – Notation
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10-5 M/G/1 Queue
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10-6 A Result from Probability Theory
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10-7 Pollaczek-Khinchin Formula
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10-8 Average Residual Time
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10-9 Average Residual Time (cont.)
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10-10 P-K Formula
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10-11 P-K Formula: Examples
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10-12 Distribution Upon Arrival or Departure
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10-13 Distribution Upon Arrival or Departure (cont.)
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10-14 Embedded Markov Chain
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10-15 Number of Arrivals During a Service Time
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10-16 Embedded Markov Chain
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10-17 Calculating the Stationary Distribution
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10-18 Moment Generating Functions
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10-19 Z-Transforms of Discrete Random Variables
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10-20 Continuous Random Variables
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10-21 Discrete Random Variables
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10-22 P-K Transform Equation
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10-23 P-K Transform Equation
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10-24 P-K Transform Equation
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10-25 Expansion in Partial Fractions
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10-26 Expansion in Partial Fractions (cont.)
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10-27 M/G/1 Queue with Priority Classes
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10-28 Non-Preemptive Priority
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10-29 Non-Preemptive Priority
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10-30 Non-Preemptive Priority
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10-31 Preemptive Priority
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10-32 Preemptive Priority
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