Details
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2019 |
| Subtitle of host publication | Proceedings |
| Editors | Floriano De Rango, Carlos Tavares Calafate, Miroslav Voznak, Alfredo Garro, Mauro Tropea |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Number of pages | 8 |
| ISBN (electronic) | 978-1-7281-2923-5 |
| ISBN (print) | 978-1-7281-2924-2 |
| Publication status | Published - Oct 2019 |
| Event | 23rd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2019 - Cosenza, Italy Duration: 7 Oct 2019 → 9 Oct 2019 |
Publication series
| Name | Proceedings IEEE International Symposium on Distributed Simulation and Real-Time Applications |
|---|---|
| ISSN (Print) | 1550-6525 |
Abstract
A novel way of distributed discrete event simulation, called approximate distributed discrete event simulation, is presented in this paper. Compared with the classic simulation, the models for approximate simulation give some kind of free margin to the simulator during the execution. This can be used in some cases to reduce the overhead of the simulation, especially the execution time. Since the margin can be adjusted arbitrarily in the range, a trade-off between the simulation precision and the execution time can be achieved this way. It's well known that the execution time of distributed discrete event simulation can't be reduced significantly compared with a sequential simulation when the logical processes are tightly coupled and the lookahead is very short. In this study, a framework of approximate distributed discrete event simulation with some novel algorithms is developed, which is aimed to provide a longer look-ahead and further the trade-off between the simulation precision and the execution time using the free margin provided by the model.
Keywords
- approximate simulation, discrete event simulation, distributed simulation, look-ahead estimation
ASJC Scopus subject areas
- Mathematics(all)
- Modelling and Simulation
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Computer Science Applications
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2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2019: Proceedings. ed. / Floriano De Rango; Carlos Tavares Calafate; Miroslav Voznak; Alfredo Garro; Mauro Tropea. Institute of Electrical and Electronics Engineers Inc., 2019. 8958660 (Proceedings IEEE International Symposium on Distributed Simulation and Real-Time Applications).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Approximate Distributed Discrete Event Simulation using Semi-Conservative Look-Ahead Estimation
AU - Fu, Desheng
AU - O'Connor, Marcus
AU - Becker, Matthias
AU - Szczerbicka, Helena
PY - 2019/10
Y1 - 2019/10
N2 - A novel way of distributed discrete event simulation, called approximate distributed discrete event simulation, is presented in this paper. Compared with the classic simulation, the models for approximate simulation give some kind of free margin to the simulator during the execution. This can be used in some cases to reduce the overhead of the simulation, especially the execution time. Since the margin can be adjusted arbitrarily in the range, a trade-off between the simulation precision and the execution time can be achieved this way. It's well known that the execution time of distributed discrete event simulation can't be reduced significantly compared with a sequential simulation when the logical processes are tightly coupled and the lookahead is very short. In this study, a framework of approximate distributed discrete event simulation with some novel algorithms is developed, which is aimed to provide a longer look-ahead and further the trade-off between the simulation precision and the execution time using the free margin provided by the model.
AB - A novel way of distributed discrete event simulation, called approximate distributed discrete event simulation, is presented in this paper. Compared with the classic simulation, the models for approximate simulation give some kind of free margin to the simulator during the execution. This can be used in some cases to reduce the overhead of the simulation, especially the execution time. Since the margin can be adjusted arbitrarily in the range, a trade-off between the simulation precision and the execution time can be achieved this way. It's well known that the execution time of distributed discrete event simulation can't be reduced significantly compared with a sequential simulation when the logical processes are tightly coupled and the lookahead is very short. In this study, a framework of approximate distributed discrete event simulation with some novel algorithms is developed, which is aimed to provide a longer look-ahead and further the trade-off between the simulation precision and the execution time using the free margin provided by the model.
KW - approximate simulation
KW - discrete event simulation
KW - distributed simulation
KW - look-ahead estimation
UR - http://www.scopus.com/inward/record.url?scp=85079042181&partnerID=8YFLogxK
U2 - 10.1109/DS-RT47707.2019.8958660
DO - 10.1109/DS-RT47707.2019.8958660
M3 - Conference contribution
AN - SCOPUS:85079042181
SN - 978-1-7281-2924-2
T3 - Proceedings IEEE International Symposium on Distributed Simulation and Real-Time Applications
BT - 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2019
A2 - De Rango, Floriano
A2 - Calafate, Carlos Tavares
A2 - Voznak, Miroslav
A2 - Garro, Alfredo
A2 - Tropea, Mauro
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2019
Y2 - 7 October 2019 through 9 October 2019
ER -