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.
N1 - Publisher Copyright:
© 2018 IEEE.
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
T3 - Proceedings - 2018 14th European Dependable Computing Conference, EDCC 2018
SP - 116
EP - 119
BT - Proceedings - 2018 14th European Dependable Computing Conference, EDCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th European Dependable Computing Conference, EDCC 2018
Y2 - 10 September 2018 through 14 September 2018
ER -