Estimating performance of large scale distributed simulation built on homogeneous hardware

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Desheng Fu
  • Matthias Becker
  • Marcus O'Connor
  • Helena Szczerbicka
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Details

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017
EditorsAlfredo Garro, Andrea D'Ambrogio, Robson De Grande, Andrea Tundis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (electronic)9781538640289
Publication statusPublished - 5 Dec 2017
Event21st IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017 - Rome, Italy
Duration: 18 Oct 201720 Oct 2017

Publication series

NameProceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017
Volume2017-January

Abstract

Large scale distributed simulation should be well planned before the execution, since applying unnecessary hardware only wastes our time and money. On the other side, we need enough hardware to achieve an acceptable performance. Thus, it is considerable to estimate the performance of a large scale distributed simulation before the execution. Such an estimation also improves the efficiency of the applied hardware in many cases due to the optimization on the simulation algorithm and on the partition of the model. In this paper, we show our approaches to estimate the performance, especially the duration of execution, of a large scale distributed simulation system built on a large set of homogeneous hardware, using a small set of hardware of the same type. Our basic idea is to simulate a distributed simulation in a sequential way for a short time considering all the costs and benefits of the distribution. The results of our case study show that our approaches are able to provide meaningful estimations.

ASJC Scopus subject areas

Cite this

Estimating performance of large scale distributed simulation built on homogeneous hardware. / Fu, Desheng; Becker, Matthias; O'Connor, Marcus et al.
Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017. ed. / Alfredo Garro; Andrea D'Ambrogio; Robson De Grande; Andrea Tundis. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-8 (Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017; Vol. 2017-January).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Fu, D, Becker, M, O'Connor, M & Szczerbicka, H 2017, Estimating performance of large scale distributed simulation built on homogeneous hardware. in A Garro, A D'Ambrogio, R De Grande & A Tundis (eds), Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017. Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-8, 21st IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017, Rome, Italy, 18 Oct 2017. https://doi.org/10.1109/DISTRA.2017.8167678
Fu, D., Becker, M., O'Connor, M., & Szczerbicka, H. (2017). Estimating performance of large scale distributed simulation built on homogeneous hardware. In A. Garro, A. D'Ambrogio, R. De Grande, & A. Tundis (Eds.), Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017 (pp. 1-8). (Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DISTRA.2017.8167678
Fu D, Becker M, O'Connor M, Szczerbicka H. Estimating performance of large scale distributed simulation built on homogeneous hardware. In Garro A, D'Ambrogio A, De Grande R, Tundis A, editors, Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-8. (Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017). doi: 10.1109/DISTRA.2017.8167678
Fu, Desheng ; Becker, Matthias ; O'Connor, Marcus et al. / Estimating performance of large scale distributed simulation built on homogeneous hardware. Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017. editor / Alfredo Garro ; Andrea D'Ambrogio ; Robson De Grande ; Andrea Tundis. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-8 (Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017).
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