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Parallel shared-memory simulator performance for large ATM networks
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Source ACM Transactions on Modeling and Computer Simulation (TOMACS) archive
Volume 10 ,  Issue 4  (October 2000) table of contents
Pages: 358 - 391  
Year of Publication: 2000
ISSN:1049-3301
Authors
Brian Unger  Univ. of Calgary, Calgary, Alta., Canada
Zhonge Xiao  Univ. of Calgary, Calgary, Alta., Canada
John Cleary  Univ. of Waikato, Waikato, New Zealand
Jya-Jang Tsai  Univ. of Waikato, Waikato, New Zealand
Carey Williamson  Univ. of Saskatchewan, Saskatoon, Sask., Canada
Publisher
ACM  New York, NY, USA
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ABSTRACT

A performance comparison between an optimistic and a conservative parallel simulation kernel is presented. Performance of the parallel kernels is also compared to a central-event-list sequential kernel. A spectrum of ATM network and traffic scenarios representative of those used by ATM networking researchers are used for the comparison. Experiments are conducted with a cell-level ATM network simulator and an 18-processor SGI PowerChallenge shared-memory multiprocessor. The results show the performance advantages of parallel simulation ove r sequential simulation for ATM networks. Speedups of 4-5 relative to a fast sequential kernel are achieved on 16 processors for several large irregular ATM benchmark scenarios and the optimistic kernel achieves 2 to 5 times speedup on all 7 benchmarks. However, the relative performance of the two parallel simulation kernels is dependent on the size of the ATM network, the number of traffic sources, and the traffic source types used in the simulation. For some benchmarks the best single point performance is provided by the conservative kernel even on a single processor. Unfortunately, the conservative kernel performance is susceptible to small changes in the modeling code and is outperformed by the optimistic kernel on 5 of the 7 benchmarks. The optimistic parallel simulation kernel thus provides most robust performance, but its speedup is limited by the overheads of its implementation, which make it approximately half the speed of the sequential kernel on one processor.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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ARLITT, M., CHEN, Y., GURSKI, R., AND WILLIAMSON, C. 1995. Traffic modeling in the ATM-TN telesim project: Design, implementation, and performance evaluation. In Proceedings of the 1995 Summer Conference on Computer Simulation (SCSC'95, Ottawa, Ont.). 847-851.
 
2
ARLITT, M. AND WILLIAMSON, C. 1995. A synthetic workload model for internet mosaic traffic. In Proceedings of the 1995 Summer Conference on Computer Simulation (SCSC'95, Ottawa, Ont.). 852-857.
 
3
 
4
ATM FORUM. 1996. Traffic management 4.0 specification. ATM Forum Technical Committee.
5
 
6
7
8
9
10
 
11
CHANDY, K. M. AND MISRA, J. 1979. Distributed simulation: A case study in design and verification of distributed programs. IEEE Trans. Softw. Eng. 5, 5 (Sept.), 440-452.
12
 
13
CHEN, Y., DENG, Z., AND WILLIAMSON, C. 1995. A model for self-similar Ethernet lan traffic: Design, implementation, and performance implications. In Proceedings of the 1995 Summer Conference on Computer Simulation (SCSC'95, Ottawa, Ont.). 831-837.
14
15
16
 
17
 
18
FUJIMOTO, R. M. 1989. Time warp on a shared memory multiprocessor. In Proceedings of the International Conference on Parallel Processing (ICPP '89, Aug.). Pennsylvania State University, University Park, PA, 242-249.
19
20
 
21
 
22
 
23
GURSKI, R. AND WILLIAMSON, C. 1996. TCP over ATM: Simulation model and performance results. In Proceedings of the 1996 IEEE International Conference on Computers and Communications (Phoenix, AZ, Mar.). IEEE Computer Society Press, Los Alamitos, CA, 328-335.
24
25
26
 
27
 
28
MARTINE, D., WILSEY, P., AND MCBRAYER, T. 1995. WARPED (version 0.5). University of Cincinnati, Cincinnati, OH.
29
 
30
MELAMED, B. 1992. TES modeling of video traffic. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. E75-B, 1292-1300.
 
31
 
32
 
33
34
 
35
PATEL, A. AND WILLIAMSON, C. 1997. Effective bandwidth of self-similar traffic sources: Theoretical and simulation results. In Proceedings of the IASTED Conference on Applied Modeling and Simulation (Banff, AB, Canada, July). 298-302.
 
36
37
 
38
STEINMAN, J. 1992. SPEEDES: A unified approach to parallel simulation. In Proceedings of the 6th Workshop on Parallel and Distributed Simulation (PADS '92). ACM Press, New York, NY.
 
39
 
40
SU, W. AND SEITZ, C. 1989. Variants of the Chandy-Misra-Bryant distributed discrete-event simulation algorithm. In Proceedings of the Conference on Distributed Simulation (Miami, FL).
 
41
42
 
43
44
 
45
46
 
47
WILLIAMSON, C., UNGER, B., AND XIAO, Z. 1998. Parallel simulation of ATM networks: Case study and lessons learned. In Proceedings of the Second Canadian Conference on Broadband Research (CCBR '98, Ottawa, Ont., June). 78-88.
48
 
49
XIAO, Z. AND UNGER, B. 1995a. Notes on parallelizing ATM-TN cell-level simulation models. Tech. rep. 98-629-20. University of Calgary, Calgary, Canada.
 
50
XIAO, Z. AND UNGER, B. 1995b. Report on WarpKit: Performance study and improvement. Tech. rep. 98-628-19. University of Calgary, Calgary, Canada.
 
51
52
 
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REVIEW

"Veronica Lagrange : Reviewer"

Performance of two parallel shared-memory simulators is investigated and this paper describes experiments conducted to do it. The emphasis is on real-life, complex and heterogeneous problems. The application chosen is the simulation of lar  more...

Collaborative Colleagues:
Brian Unger: colleagues
Zhonge Xiao: colleagues
John Cleary: colleagues
Jya-Jang Tsai: colleagues
Carey Williamson: colleagues