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Essentials of Probability
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Performance Modeling and Analysis
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Performance Modeling and Analysis
Contents
Essentials of Probability
Probability on a Sample Space
Basic Operations on Events
Probability on Events
Other Properties
Conditional Probability
Bayes Formula
Independence
Random Variables
Random Variable as a Measurement
Probability Mass Function for a Random Variable
Cumulative Distribution Function
PMF and CDF for the 3 Coin Toss Example
Expectation of a Random Variable
Important Random Variables
Bernoulli Random Variable
Binomial Random Variable
Geometric Random Variable
Poisson Random Variable
Continuous-valued Random Variables
Properties of Continuous Random Variables
Expectation of a Continuous Random Variable
Important Continuous Random Variable: Exponential
Memoryless Property of the Exponential
Inside an IMP
Queueing in the Network Layer at an IMP
Basic Single Queue Model
Applications of Queueing Analysis Outside of Networking
The Poisson Arrival Model
Properties of a Poisson Process
Interarrival Times of a Poisson Process
The M/M/1 Queue
Aside: Queueing Notation
Aside: The D/D/1 Queue
State Analysis of an M/M/1 Queue
Balance Equations
Solving the Balance Equations
The Finite Buffer Case: M/M/1/N
Blocking Probability and the Right Size Buffer
Throughput in the Finite Buffer Case
Alternate way to compute throughput of M/M/1/N: Look at the output side
Aside: Derivation of = Using Throughput
Approximation of a Finite Buffer System by the Infinite Buffer Model
How Long is That Line?
Little's Formula and Queueing Delay
Applying Little's Formula to an M/M/1 Queue
Applying the M/M/1 Results to a Single Network Link
Other Queueing Models
Network Analysis
Queueing Networks
Closed Queueing Network Example
Nodes in a Packet Switched Network (PSN)
Queueing Network Model of Nodes in a PSN
Queueing Network Analysis of a PSN
About this document ...
Ken Vastola
Fri Mar 15 14:12:07 EST 1996