2021
Journal article  Open Access

On identity-aware replication in stochastic modeling for simulation-based dependability analysis of large interconnected systems

Chiaradonna S., Di Giandomenico F., Masetti G.

Performance evaluation  Modeling and Simulation  Simulation-based evaluation  Hardware and Architecture  Software  Stochastic models  Template-based non-anonymous replication  Computer Networks and Communications  Dependability analysis  Large interconnected systems 

This paper focuses on the generation of stochastic models for dependability and performability analysis, through mechanisms for the automatic replication of template models when identity of replicas cannot be anonymous. The major objective of this work is to support the modeler in selecting the most appropriate replication mechanism, given the characteristics of the system under analysis. To this purpose, three most used solutions to identity-aware replication are considered and a formal framework to allow representing them in a consistent way is first defined. Then, a comparison of their behavior is extensively carried out, with focus on efficiency, both from a theoretical perspective and from a quantitative viewpoint. For the latter, a specific implementation of the considered replication mechanisms in the Möbius modeling environment and a case study representative of realistic interconnected infrastructures are developed.

Source: Performance evaluation 147 (2021). doi:10.1016/j.peva.2021.102192

Publisher: North-Holland, Amsterdam , Paesi Bassi


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BibTeX entry
@article{oai:it.cnr:prodotti:446702,
	title = {On identity-aware replication in stochastic modeling for   simulation-based dependability analysis of large interconnected systems},
	author = {Chiaradonna S. and Di Giandomenico F. and Masetti G.},
	publisher = {North-Holland, Amsterdam , Paesi Bassi},
	doi = {10.1016/j.peva.2021.102192},
	journal = {Performance evaluation},
	volume = {147},
	year = {2021}
}