@conference {Gianni2012,
	title = {Model-driven performance prediction of HLA-based distributed simulation systems},
	booktitle = {Proceedings - Winter Simulation Conference},
	year = {2012},
	note = {cited By 3},
	abstract = {Performance models offer a convenient tool to assess design alternatives and predict the execution time of distributed simulation (DS) systems at design time, before system implementation. Currently, performance models are to be manually developed and the related extra effort often becomes the limiting factor for their cost- and time-effective use. In this paper, we aim to reduce this extra effort with the introduction of a model-driven method for the automated building of performance models whose evaluation provides a prediction about of the execution time of a distributed simulation system. As such, the method contributes to bring software performance engineering techniques into the distributed simulation system lifecycle. In particular, we show how the SysML-based specification of the system to be simulated and the design documents of the DS system can be used to derive the topology and the parameters of a performance model specified according to the Extended Queueing Network formalism. {\textcopyright} 2012 IEEE.},
	keywords = {Automated buildings, Computer simulation, Design, Design alternatives, Design documents, Design time, Distributed computer systems, Distributed simulation systems, Distributed simulations, Execution time, Forecasting, Model-driven, Model-driven method, Performance Model, Performance prediction, Software performance engineerings, System implementation, Topology},
	isbn = {9781467347792},
	issn = {08917736},
	doi = {10.1109/WSC.2012.6465255},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874698997\&partnerID=40\&md5=a02b093d52a8995b3774ab0d2df86fb2},
	author = {Gianni, D. and Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio}
}
@conference {Ambrogio200820,
	title = {A Model-Driven approach for the performance management of grid-based applications},
	booktitle = {Proceedings of the IASTED International Conference on Software Engineering, SE 2008},
	year = {2008},
	note = {cited By 0},
	pages = {20-25},
	abstract = {Grid environments and software applications based on Grid Services are currently receiving a strong consideration. In a Grid context, service providers are strategically interested to manage the level of performance that can be oered to service consumers. This paper introduces a model-driven approach for predicting, at design time, and managing, at execution time, the performance characteristics of applications based on Grid Services. The approach is based on the automatic generation and evaluation of performance models from design models of UML type. An example application is illustrated to show the eectiveness of the proposed approach.},
	keywords = {Applications, Automatic generations, Design models, Design time, Execution time, Grid, Grid computing, Grid contexts, Grid environments, Grid services, Grid-based applications, LQN, Model-driven approaches, Performance analysis, Performance characteristics, Performance managements, Performance models, Service providers, Service-oriented, Software applications, Software engineering, Spontaneous emission, Systems analysis},
	isbn = {9780889867154},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-62849087032\&partnerID=40\&md5=497dc66a800e3d14123b851fc9cec6d7},
	author = {Andrea D{\textquoteright}Ambrogio and Conticelli, L.}
}
