Projects per year
Abstract
Simulation can be considered a necessary evil in the validation of
systems, especially when the system under consideration is being
prototyped and therefore does not presently exist. This is compounded by the use of high level simulators; on the one hand, high
level simulation is efficient, in that it abstracts away many details
of the system which are deemed to be not important. This allows
for a simpler and faster running simulator, which allows the user
to obtain results faster and/or perform more experiments. On the
other hand, some of the details abstracted away might turn out to
be important, introducing inaccuracies.
This paper outlines a framework for the statistical understanding
and attribution of the errors produced by a high level simulator
when compared against real experiments by means of a low level
simulator. This allows the user of a simulator to determine whether
or not the inaccuracies are significant, and whether or not the high
level simulator requires refinements in its accuracy for the results
to be valid. These techniques are illustrated via a case study.
systems, especially when the system under consideration is being
prototyped and therefore does not presently exist. This is compounded by the use of high level simulators; on the one hand, high
level simulation is efficient, in that it abstracts away many details
of the system which are deemed to be not important. This allows
for a simpler and faster running simulator, which allows the user
to obtain results faster and/or perform more experiments. On the
other hand, some of the details abstracted away might turn out to
be important, introducing inaccuracies.
This paper outlines a framework for the statistical understanding
and attribution of the errors produced by a high level simulator
when compared against real experiments by means of a low level
simulator. This allows the user of a simulator to determine whether
or not the inaccuracies are significant, and whether or not the high
level simulator requires refinements in its accuracy for the results
to be valid. These techniques are illustrated via a case study.
| Original language | English |
|---|---|
| DOIs | |
| Publication status | Published - 1 Aug 2019 |
| Event | Real-Time Networks and Systems - Toulouse, France Duration: 6 Nov 2019 → 8 Nov 2019 |
Conference
| Conference | Real-Time Networks and Systems |
|---|---|
| Abbreviated title | RTNS |
| Country/Territory | France |
| City | Toulouse |
| Period | 6/11/19 → 8/11/19 |
Bibliographical note
© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.Projects
- 1 Finished
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Mixed Criticality Cyber- Physical Systems
Burns, A., Bate, I. J., Davis, R. I. & Soares Indrusiak, L.
1/10/16 → 30/09/19
Project: Research project (funded) › Research