Abstract
We compare population models in terms of Continuous Time Markov Chains with embedded deterministic delays (delayed CTMC), in which an exponential timed transition can only update the state of the system after a deterministic delay, and delay differential equations (DDE). We prove a fluid approximation theorem, showing that, when the size of the population goes to infinity, the delayed CTMC converges to a solution of the DDE.
Original language | English |
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Title of host publication | Proceedings of the Quantitative Evaluations of Systems (QEST) Conference |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 53-62 |
Number of pages | 10 |
ISBN (Electronic) | 978-0-7695-4781-7 |
ISBN (Print) | 978-1-4673-2346-8 |
DOIs | |
Publication status | Published - 18 Sep 2012 |