@inproceedings{4f24cf025f9f434b8906f1729eab6cfc,
title = "An Efficient Strategy for Model Composition in the M{\"o}bius Modeling Environment",
abstract = "M{\"o}bius is well known as a modeling and evaluation environment for performance and dependability indicators. One of M{\"o}bius' 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 M{\"o}bius 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.",
keywords = "Compositional operator, Modeling, M{\"o}bius",
author = "Giulio Masetti and Silvano Chiaradonna and {Di Giandomenico}, Felicita and Brett Feddersen and Sanders, {William H.}",
year = "2018",
month = nov,
day = "9",
doi = "10.1109/EDCC.2018.00029",
language = "English (US)",
series = "Proceedings - 2018 14th European Dependable Computing Conference, EDCC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "116--119",
booktitle = "Proceedings - 2018 14th European Dependable Computing Conference, EDCC 2018",
address = "United States",
note = "14th European Dependable Computing Conference, EDCC 2018 ; Conference date: 10-09-2018 Through 14-09-2018",
}