Efficient and accurate Lyapunov function-based truncation technique for multi-dimensional Markov chains with applications to discriminatory processor sharing and priority queues.
Gagan SomashekarMohammad DelasayAnshul GandhiPublished in: Perform. Evaluation (2023)
Keyphrases
- processor sharing
- markov chain
- multi dimensional
- steady state
- service times
- lyapunov function
- transition probabilities
- markov processes
- state space
- finite state
- single server
- stationary distribution
- processor sharing queue
- probabilistic automata
- sufficient conditions
- higher order
- transition matrix
- queue length
- model selection
- high dimensional
- reinforcement learning
- bayesian networks
- data mining
- neural network
- real time