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Performance Modeling of ServerNet™ SAN Topologies

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Abstract

This paper describes a performance analysis of ServerNet SAN, a new system area network architecture developed by Tandem Computers. The paper focuses on three main topics: a brief description of the ServerNet SAN architecture and the simulation tool, the basis for modeling assumptions, and the initial results of the performance and scalability analysis. The ServerNet SAN is a new core technology for server architectures that focuses on moving data. The analysis uses simulation to obtain performance characteristics such as delivery time, throughput, and hot spot identification. The goal of the analysis is to provide a realistic measure of current system performance, while optimizing features such as network topology and traffic patterns to provide future improvement.

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References

  1. V. S. Adve and M. K. Vernon. Performance analysis of mesh interconnection networks with deter-ministic routing. IEEE Trans. on Parallel and Distributed Systems, 5(3): 225-246, March 1994.

    Google Scholar 

  2. D. Avresky, V. Shurbanov, R. Horst, W. Watson, L. Young, and D. Jewet. Maximum delivery time and hot spots in ServerNet™ topologies. In Proc. of the IEEE Int. Par. Proc. Symp., University of Geneva, Geneva, Switzerland, April 1997.

  3. W. E. Baker, R. W. Horst, D. P. Sonnier, and W. J. Watson. A exible ServerNet-based fault-tolerant architecture. In Proc. of the 25th Int. Symp. on Fault-Tolerant Computing, pages 2-11, Pasadena, CA, U.S.A., June 1995.

  4. R. V. Boppana and S. Chalasani. A comparison of adaptive wormhole routing algorithms. Computer Architecture News, 21(2): 351-360, May 1993.

    Google Scholar 

  5. C. M. Cunningham and D. R. Avresky. Fault-tolerant adaptive routing for two-dimensional meshes. In Proc. of the First IEEE Symp. on High Performance Architecture, pages 122-131, Raleigh, NC, U.S.A., January 1995.

  6. A. Grama, A. Gupta, and V. Kumar. Isoefficiency: Measuring the scalability of parallel computer systems. IEEE Parallel and Distributed Technology, 1(3):12-21, August 1993.

    Google Scholar 

  7. R. W. Horst, D. R. Avresky, R. Wilkinson, D. Jewett, W. Watson, L. Young, and C. Cunningham. Performance modeling of ServerNet™ topologies. In Proc. of the IEEE Int. Par. Proc. Symp., pages 518-523, Honolulu, HI, U.S.A., April 15-19, 1996.

  8. R. W. Horst. ServerNet™ deadlock avoidance and fractahedral topologies. In Proc. of the IEEE Int. Par. Proc. Symp., pages 274-280, Honolulu, HI, U.S.A., April 15-19, 1996.

  9. R. W. Horst. Tnet: A reliable system area network. IEEE Micro, pages 37-45, February 1995.

  10. K. Hwang. Advanced Computer Architecture: Parallelism, Scalability, Programmability. McGraw-Hill, Inc., 1993.

  11. R. Jain. The Art of Computer Systems Performance Analysis. John Wiley & Sons, Inc., 1991.

  12. V. Kumar and A. Gupta. Analyzing scalability of parallel algorithms and architectures. J. Parallel and Distributed Computing, 22(3): 379-391, September 1994.

    Google Scholar 

  13. D. Nussabum and A. Agrawal. Scalability of parallel machines. Communications of ACM, 34(3):57-61, 1991.

    Google Scholar 

  14. A. Sivasubramaniam, A. Singla, U. Ramachandran, and H. Venkateswaran. A simulation-based scal-ability study of parallel systems. J. Parallel and Distributed Computing, 22(3):411-426, September 1994.

    Google Scholar 

  15. X. Sun and D. Rover. Scalability of parallel algorithm-machine combinations. IEEE Trans. on Parallel and Distributed Systems, 5(6):599-613, June 1994.

    Google Scholar 

  16. X. Sun and J. Zhu. Performance prediction: A case study using a scalable shared-virtual-memory machine. IEEE Parallel and Distributed Technology, pages 36-49, Winter 1996.

  17. X. Zhang, Y. Yan, and K. He. Latency metric: An experimental method for measuring and evaluating parallel program and architecture scalability. J. Parallel and Distributed Technology, 22(3):392-410, September 1994.

    Google Scholar 

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Avresky, D.R., Shurbanov, V., Horst, R. et al. Performance Modeling of ServerNet™ SAN Topologies. The Journal of Supercomputing 14, 19–37 (1999). https://doi.org/10.1023/A:1008195113125

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  • DOI: https://doi.org/10.1023/A:1008195113125

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