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A Note on Maximum Entropy in Queueing Problems
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G. R. Mohtashami Borzadaran
Published/Copyright:
March 15, 2010
Abstract
The main tool of information theory is the Shannon entropy introduced by C.E. Shannon in 1948. This paper, concentrates on obtaining probabilistic models for a queueing system using the principle of maximum entropy subject to certain constraints. Some properties of queueing systems following the maximum entropy approach are stated.
Keywords:: Shannon's entropy; maximum entropy principle; queueing theory; characterization; information theory; birth and death process
Published Online: 2010-03-15
Published in Print: 2009-October
© Heldermann Verlag
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Keywords for this article
Shannon's entropy;
maximum entropy principle;
queueing theory;
characterization;
information theory;
birth and death process
Articles in the same Issue
- Uncertainty and E-Learning
- Selection of Bayesian Single Sampling Attributes Plans Based on Polya Distribution
- Controlling Energy Utilisation at Reheat Furnace Using Time Series Model
- A Replacement Policy Based on Down Time for a Cold Standby System with Dependent Lifetime and Repairtime
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- Multivariate EWMA Charts with Variable Sampling Intervals
- Quartile Double Rankled Set Sampling for Estimating the Population Mean
- Control Charts for Mean under Shrinkage Technique
- A Note on Maximum Entropy in Queueing Problems
- Gini's Mean Difference Based Time-Varying EWMA Charts
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