Probability and Queueing Theory syllabus
UNIT I RANDOM VARIABLES
Discrete and continuous random variables – Moments – Moment generating functions – Binomial, Poisson, Geometric, Uniform, Exponential, Gamma and Normal distributions.
UNIT II TWO – DIMENSIONAL RANDOM VARIABLES
Joint distributions – Marginal and conditional distributions – Covariance – Correlation and Linear regression – Transformation of random variables.
UNIT III RANDOM PROCESSES
Classification – Stationary process – Markov process – Poisson process – Discrete parameter Markov chain – Chapman Kolmogorov equations – Limiting distributions.
UNIT IV QUEUEING MODELS
Markovian queues – Birth and Death processes – Single and multiple server queueing models –Little’s formula – Queues with finite waiting rooms – Queues with impatient customers: Balking and reneging.
UNIT V ADVANCED QUEUEING MODELS
Finite source models – M/G/1 queue – Pollaczek Khinchin formula – M/D/1 and M/EK/1 as special cases – Series queues – Open Jackson networks.
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