Fluid limit
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In queueing theory, a discipline within the mathematical theory of probability, a fluid limit, fluid approximation or fluid analysis of a stochastic model is a deterministic real-valued process which approximates the evolution of a given stochastic process, usually subject to some scaling or limiting criteria.
Fluid limits were first introduced by Thomas G. Kurtz publishing a law of large numbers and central limit theorem for Markov chains.[1][2] It is known that a queueing network can be stable, but have an unstable fluid limit.[3]
References
| Single queueing nodes | |
|---|---|
| Arrival processes | |
| Queueing networks | |
| Service policies | |
| Key concepts | |
| Limit theorems | |
| Extensions | |
| Information systems | |
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