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Rate conservation laws: A survey
Authors:Masakiyo Miyazawa
Institution:(1) Department of Information Sciences, Science University of Tokyo, Noda, 278 Chiba, Japan
Abstract:We survey the rate conservation law, RCL for short, arising in queues and related stochastic models. RCL was recognized as one of the fundamental principles to get relationships between time and embedded averages such as the extended Little's formulaH=lambdaG, but we show that it has other applications. For example, RCL is one of the important techniques for deriving equilibrium equations for stochastic processes. It is shown that the various techniques, including Mecke's formula for a stationary random measure, can be formulated as RCL. For this purpose, we start with a new definition of the rate with respect to a random measure, and generalize RCL by using it. We further introduce the notion of quasi-expectation, which is a certain extension of the ordinary expectation, and derive RCL applicable to the sample average results. It means that the sample average formulas such asH=lambdaG can be obtained as the stationary RCL in the quasi-expectation framework. We also survey several extensions of RCL and discuss examples. Throughout the paper, we would like to emphasize how results can be easily obtained by using a simple principle, RCL.
Keywords:Queue  rate conservation law  equilibrium equation  Palm calculus  stationary process  point process  random measure  martingale  stochastic integral  sample average  Little's formula  server vacation model  risk process
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