Abstract
Conventional simulation of cell- or packet-switched networks involves the use of discrete event simulators that model each individual cell through the network, typically called cell-level simulation. Each cells arrival at, or departure from, a network element is represented by an event. However, statistical considerations are such that very large numbers of cells have to be simulated to guarantee the accuracy of the results. This has always caused very long simulation times, often amounting to many hours of real time just to simulate a few minutes of simulated time. In this article we describe a novel methodology for accelerating simulation studies in cell-based communication networks, e.g., ATM, by using a hybrid analytical/simulation combination. The methodology uses a mathematical technique to seperate foreground traffic from background traffic, and focuses on accelerating cell by cell simulation.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Science Applications,Modelling and Simulation
Reference36 articles.
1. AHN J.S.AND DANZIG P. B. 1996. Packet network simulation: Speedup and accuracy versus timing granularity. IEEE/ACM Trans. Networking 4 5 743-757. 10.1109/90.541322
2. BABBAGE R.AND APPLETON J. 1997. Modelling end to end delays in ATM. In Proceedings of the IEE Symposium on Teletraffic.
3. BUCKLEW J. A. 1990. Large Deviation Techniques in Decision Simulation and Estimation. Wiley-Interscience New York NY.
4. D'AMBROSIO M.AND MELEN R. 1995. Evaluating the limit behaviour of ATM traffic within a network. IEEE/ACM Trans. Networking 13 6 (Dec.). 10.1109/90.477728
5. DEMAN S.W.AND BOEL R. K. 1998. Importance sampling techniques for the estimation of the CLR and its sensitivity. AEU Int. J. Electron. Commun. 52 3 () 141-151.
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献