Efficient simulation of ATM networks with accurate end-to-end delay statistics
We present a technique to enable the efficient simulation of large scale ATM networks, while preserving the accuracy of the end-to-end delay statistics. Our approach uses on-the-fly aggregation by observing traffic at monitoring points, then substituting an aggregate model, when appropriate. We focu...
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Published in | 1998 IEEE International Conference on Communications Vol. 3; pp. 1799 - 1804 vol.3 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
1998
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Abstract | We present a technique to enable the efficient simulation of large scale ATM networks, while preserving the accuracy of the end-to-end delay statistics. Our approach uses on-the-fly aggregation by observing traffic at monitoring points, then substituting an aggregate model, when appropriate. We focus in particular on the end-to-end delay distribution, given the importance of this distribution for continuous media. We find that our methods are able to achieve speedup of one order of magnitude, while maintaining accuracy within 5% of the unaggregated simulation. These results are observed in both a series of multiplexers and a 100-switch wide-area ATM topology. |
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AbstractList | We present a technique to enable the efficient simulation of large scale ATM networks, while preserving the accuracy of the end-to-end delay statistics. Our approach uses on-the-fly aggregation by observing traffic at monitoring points, then substituting an aggregate model, when appropriate. We focus in particular on the end-to-end delay distribution, given the importance of this distribution for continuous media. We find that our methods are able to achieve speedup of one order of magnitude, while maintaining accuracy within 5% of the unaggregated simulation. These results are observed in both a series of multiplexers and a 100-switch wide-area ATM topology. |
Author | Zegura, E.W. Hao, F. Nikolaidis, I. |
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Snippet | We present a technique to enable the efficient simulation of large scale ATM networks, while preserving the accuracy of the end-to-end delay statistics. Our... |
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StartPage | 1799 |
SubjectTerms | Aggregates Asynchronous transfer mode Delay Large-scale systems Monitoring Multiplexing Statistical distributions Telecommunication traffic Topology Traffic control |
Title | Efficient simulation of ATM networks with accurate end-to-end delay statistics |
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