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Fast simulation of networks of queues with effective and decoupling bandwidths

Published: 01 January 1999 Publication History

Abstract

A significant difficulty when using Monte Carlo simulation for the performance analysis of communication networks is the long runtime required to obtain accurate statistical estimates. Under the proper conditions, importance sampling (IS) is a technique that can speed up simulations involving rare events in network (queuing) systems. Large speed-up factors in simulation runtime can be obtained with IS if the modification or bias of the underlying probability measures of certain random processes is carefully chosen. Fast simulation methods based on large deviation theory (LTD) have been successfully applied in many cases.
In this paper, we set up an IS-based simulation of various elementary network topologies. These configurations are frequenly encountered in broadband ATM-based network components such as switches and multiplexers. Our objective in this study is to obtain the optimal or near-optimal biasing parameter values of the arrival processes for the importance sampling simulation. For this purpose we appropriately apply a technique presented by Chang et al. for certain portions of the networks (intree) while we develop a new algorithm, inspired by the work of De Veciana et al. on decoupling bandwidths, for the non-intree portion of the network.

References

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Published In

cover image ACM Transactions on Modeling and Computer Simulation
ACM Transactions on Modeling and Computer Simulation  Volume 9, Issue 1
Jan. 1999
80 pages
ISSN:1049-3301
EISSN:1558-1195
DOI:10.1145/301677
Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 1999
Published in TOMACS Volume 9, Issue 1

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Author Tags

  1. asynchronous transfer mode
  2. fast simulation
  3. importance sampling
  4. rare events

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  • (2024)APPLYING FAST SIMULATION TO THE EVALUATION OF CUSTOMERS BLOCKING PROBABILITY IN THE MULTICHANNEL QUEUING SYSTEM WITH MULTICAST ACCESSKIBERNETYKA TA SYSTEMNYI ANALIZ10.34229/KCA2522-9664.24.2.5(51-63)Online publication date: 2024
  • (2024)Applying Fast Simulation to the Evaluation of Customer Blocking Probability in the Multichannel Queuing System with Multicast AccessCybernetics and Systems Analysis10.1007/s10559-024-00662-x60:2(209-219)Online publication date: 1-Mar-2024
  • (2022)Comparative Analysis of Two Modified Fast Simulation Methods for Evaluation of the Failure Probability of a Rank Structure SystemCybernetics and Systems Analysis10.1007/s10559-022-00502-w58:5(691-701)Online publication date: 1-Dec-2022
  • (2021)Fast Simulation of the Customer Blocking Probability in Queueing Networks with Multicast AccessCybernetics and Systems Analysis10.1007/s10559-021-00378-2Online publication date: 24-Jul-2021
  • (2009)FISTEACM Transactions on Modeling and Computer Simulation10.1145/1596519.159652119:4(1-39)Online publication date: 4-Nov-2009
  • (2008)An importance sampling algorithm for the simulation of a GPS schedulerEuropean Transactions on Telecommunications10.1002/ett.446013040713:4(351-361)Online publication date: 12-Sep-2008
  • (2007)An adaptive approach to accelerated evaluation of highly available servicesACM Transactions on Modeling and Computer Simulation10.1145/1315575.131557618:1(1-26)Online publication date: 12-Dec-2007
  • (2004)An adaptive approach to fast simulation of traffic groomed optical networksProceedings of the 36th conference on Winter simulation10.5555/1161734.1161847(612-620)Online publication date: 5-Dec-2004
  • (2004)An Adaptive Approach to Fast Simulation of Traffic Groomed Optical NetworksProceedings of the 2004 Winter Simulation Conference, 2004.10.1109/WSC.2004.1371368(600-608)Online publication date: 2004
  • (2004)Fast simulation of wavelength continuous WDM networksIEEE/ACM Transactions on Networking10.1109/TNET.2004.83315912:4(759-765)Online publication date: 1-Aug-2004
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