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Table of Contents
|Introduction to Queueing|
|Queueing theory terminology|
|Necessary Probability Background|
|Generating random variables|
|Sample paths, convergence, and averages|
|The Predictive Power of Simple Operational Laws: 'What If' Questions and Answers|
|From Markov Chains to Simple Queues|
|Discrete-time Markov Chains|
|Real-world examples: Google, Aloha|
|Generating functions for Markov Chains|
|Exponential distributions and Poisson Process|
|Transition to continuous-time Markov Chains|
|M/M/1 and PASTA|
|Server Farms and Networks: Multi-server, Multi-queue Systems|
|Server farms: M/M/k and M/M/k/k|
|Capacity provisioning for server farms|
|Time-reversibility and Burke's Theorem|
|Jackson network of queues|
|Classed network of queues|
|Closed networks of queues|
|Real-World Workloads: High-Variability and Heavy Tails|
|Tales of tails: real-world workloads|
|Phase-type workloads and matrix-analytic|
|Networks of time-sharing (PS) servers|
|M/G/I queue and inspection paradox|
|Task assignment for server farms|
|M/G/I transform analysis|
|Power optimization application|
|Non-preemptive, non-size-based policies|
|Preemptive, non-size-based policies|
|Non-preemptive, size-based policies|
|Preemptive, size-based policies|
|Scheduling: SRPT and fairness|
|Table of Contents provided by Publisher. All Rights Reserved.|