Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017 |
| Herausgeber/-innen | Alfredo Garro, Andrea D'Ambrogio, Robson De Grande, Andrea Tundis |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 1-8 |
| Seitenumfang | 8 |
| ISBN (elektronisch) | 9781538640289 |
| Publikationsstatus | Veröffentlicht - 5 Dez. 2017 |
| Veranstaltung | 21st IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017 - Rome, Italien Dauer: 18 Okt. 2017 → 20 Okt. 2017 |
Publikationsreihe
| Name | Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017 |
|---|---|
| Band | 2017-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 Sachgebiete
- Informatik (insg.)
- Theoretische Informatik und Mathematik
- Informatik (insg.)
- Angewandte Informatik
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Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017. Hrsg. / Alfredo Garro; Andrea D'Ambrogio; Robson De Grande; Andrea Tundis. Institute of Electrical and Electronics Engineers Inc., 2017. S. 1-8 (Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017; Band 2017-January).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Estimating performance of large scale distributed simulation built on homogeneous hardware
AU - Fu, Desheng
AU - Becker, Matthias
AU - O'Connor, Marcus
AU - Szczerbicka, Helena
N1 - Publisher Copyright: © 2017 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2017/12/5
Y1 - 2017/12/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85042927817&partnerID=8YFLogxK
U2 - 10.1109/DISTRA.2017.8167678
DO - 10.1109/DISTRA.2017.8167678
M3 - Conference contribution
AN - SCOPUS:85042927817
T3 - Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017
SP - 1
EP - 8
BT - Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017
A2 - Garro, Alfredo
A2 - D'Ambrogio, Andrea
A2 - De Grande, Robson
A2 - Tundis, Andrea
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017
Y2 - 18 October 2017 through 20 October 2017
ER -