Building accurate workload models using Markovian arrival processes

@inproceedings{Casale2011BuildingAW,
  title={Building accurate workload models using Markovian arrival processes},
  author={Giuliano Casale},
  booktitle={SIGMETRICS},
  year={2011}
}
The application of Markov chains and queueing theory to real performance evaluation problems often raises the question on how to best integrate in the model the observed characteristics of a workload. For example, what if job inter-arrival times to the system are statistically correlated? How can this be described compactly in a Markov model? What if the service time distribution is heavytailed? What if arrivals are periodic? Markovian arrival processes (MAPs) offer an elegant solution to these… CONTINUE READING

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Structured Stochastic Matrices of M/G/1 Type and Their Applications

M. F. Neuts
1989
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Highly Influenced

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