Abstract
Möbius is well known as a modeling and evaluation environment for performance and dependability indicators. One of Möbius' key features is the modular and compositional approach to model definition and analysis. In particular, the modeler can define submodels using several formalisms and compose them to form the overall model of the system under analysis. The current algorithm for model composition in Möbius revealed performance issues when large systems are considered (such as in the modeling of realistic segments of energy or transportation infrastructures), due to the chosen data flow scheme. In this paper, a new algorithm for the same composition mechanism is proposed to improve efficiency. A case study is also developed to demonstrate the performance enhancements.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2018 14th European Dependable Computing Conference, EDCC 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 116-119 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781538680605 |
| DOIs | |
| State | Published - Nov 9 2018 |
| Event | 14th European Dependable Computing Conference, EDCC 2018 - Iasi, Romania Duration: Sep 10 2018 → Sep 14 2018 |
Other
| Other | 14th European Dependable Computing Conference, EDCC 2018 |
|---|---|
| Country | Romania |
| City | Iasi |
| Period | 9/10/18 → 9/14/18 |
Fingerprint
Keywords
- Compositional operator
- Modeling
- Möbius
ASJC Scopus subject areas
- Information Systems and Management
- Safety, Risk, Reliability and Quality
- Computer Networks and Communications
- Hardware and Architecture
- Control and Optimization
Cite this
An Efficient Strategy for Model Composition in the Möbius Modeling Environment. / Masetti, Giulio; Chiaradonna, Silvano; Di Giandomenico, Felicita; Feddersen, Brett; Sanders, William H.
Proceedings - 2018 14th European Dependable Computing Conference, EDCC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 116-119 8530770.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An Efficient Strategy for Model Composition in the Möbius Modeling Environment
AU - Masetti, Giulio
AU - Chiaradonna, Silvano
AU - Di Giandomenico, Felicita
AU - Feddersen, Brett
AU - Sanders, William H
PY - 2018/11/9
Y1 - 2018/11/9
N2 - Möbius is well known as a modeling and evaluation environment for performance and dependability indicators. One of Möbius' key features is the modular and compositional approach to model definition and analysis. In particular, the modeler can define submodels using several formalisms and compose them to form the overall model of the system under analysis. The current algorithm for model composition in Möbius revealed performance issues when large systems are considered (such as in the modeling of realistic segments of energy or transportation infrastructures), due to the chosen data flow scheme. In this paper, a new algorithm for the same composition mechanism is proposed to improve efficiency. A case study is also developed to demonstrate the performance enhancements.
AB - Möbius is well known as a modeling and evaluation environment for performance and dependability indicators. One of Möbius' key features is the modular and compositional approach to model definition and analysis. In particular, the modeler can define submodels using several formalisms and compose them to form the overall model of the system under analysis. The current algorithm for model composition in Möbius revealed performance issues when large systems are considered (such as in the modeling of realistic segments of energy or transportation infrastructures), due to the chosen data flow scheme. In this paper, a new algorithm for the same composition mechanism is proposed to improve efficiency. A case study is also developed to demonstrate the performance enhancements.
KW - Compositional operator
KW - Modeling
KW - Möbius
UR - http://www.scopus.com/inward/record.url?scp=85058367345&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058367345&partnerID=8YFLogxK
U2 - 10.1109/EDCC.2018.00029
DO - 10.1109/EDCC.2018.00029
M3 - Conference contribution
AN - SCOPUS:85058367345
SP - 116
EP - 119
BT - Proceedings - 2018 14th European Dependable Computing Conference, EDCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -