| Article ID: | iaor19921873 |
| Country: | United Kingdom |
| Volume: | 23 |
| Issue: | 2 |
| Start Page Number: | 355 |
| End Page Number: | 372 |
| Publication Date: | Jun 1991 |
| Journal: | Advances in Applied Probability |
| Authors: | Zachary S. |
The paper considers a ‘reduced state space’ approach to the analysis of blocking in stochastic loss networks. It shows how this approach provides insight into the approximations currently used in large networks and enables improved approximations to be deduced. The paper further gives some ‘heavy traffic’ asymptotic results for the limiting scheme of Kelly.