CDA6530: Performance Models of Computers and Networks Chapter 3: Review of Practical Stochastic Processes

Dec 31, 2012

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2. Definition. Stochastic process X = {X(t), t2 T} is a collection of random variables (rvs); one rv for each X(t) for each t2 TIndex set T --- set of possible values of tt only means timeT: countable ? discrete-time processT: real number ? continuous-time processState space --- set of possibl

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CDA6530: Performance Models of Computers and Networks Chapter 3: Review of Practical Stochastic Processes

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CDA6530: Performance Models of Computers and Networks Chapter 3: Review of Practical Stochastic Processes

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Presentation Transcript

Stochastic Processes

Learning Models of Relational Stochastic Processes

Performance and availability of computers and networks

Stochastic Markov Processes and Bayesian Networks

Stochastic Processes

Stochastic Processes

Basic Concepts of Stochastic Processes

CDA6530: Performance Models of Computers and Networks Chapter 7: Basic Queuing Networks

Stochastic Models for Communication Networks

CDA6530: Performance Models of Computers and Networks Chapter 1: Review of Practical Probability

CDA6530: Performance Models of Computers and Networks Review of Transform Theory

Performance Modeling of Stochastic Capacity Networks

CDA6530: Performance Models of Computers and Networks Cliff Zou Fall 2013

REVIEW OF SPATIAL STOCHASTIC MODELS FOR RAINFALL

Aggregated Stochastic Processes and Maintenance Models

Stochastic Markov Processes and Bayesian Networks

Performance Modeling of Stochastic Capacity Networks

Chapter 3 System Performance and Models

Learning Models of Relational Stochastic Processes

CDA6530: Performance Models of Computers and Networks Chapter 7: Basic Queuing Networks

Chapter 3 System Performance and Models

CDA6530: Performance Models of Computers and Networks Project 3 Q&amp;A

CDA6530: Performance Models of Computers and Networks Project 3 Q&A