@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}
}
@article {Bocciarelli201190,
	title = {A JXTA-based peer architecture for enhanced service discovery in SOA-based P2P applications},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {6569 LNCS},
	year = {2011},
	note = {cited By 0},
	pages = {90-100},
	abstract = {The adoption of a P2P paradigm for implementing software applications based on service oriented architectures (SOA) is gaining momentum as a valid alternative to the classic client-server paradigm. In this context, service providers are strategically interested to describe and manage the quality of service (QoS) characteristics of offered services. The ability to carry out QoS-oriented service discovery activities is an essential issue for effectively managing the QoS of SOA-based P2P applications and as consequence to guarantee an good quality level among collaborating services. To this purpose, this paper introduces a JXTA-based peer architecture for enhanced service discovery in SOA-based P2P applications. The proposed approach builds upon a model-driven framework for predicting, at composition time, and managing, at execution time, the QoS of SOA-based P2P applications. {\textcopyright} 2011 Springer-Verlag.},
	keywords = {Client server, Composition time, Execution time, Gaining momentum, Information services, Model-driven, P2P applications, Quality levels, Quality of service, Service discovery, Service oriented architecture (SOA), Service provider, Software applications},
	isbn = {9783642227592},
	issn = {03029743},
	doi = {10.1007/978-3-642-22760-8_10},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054818335\&partnerID=40\&md5=7588973cdd0fb59a54c6d2a6fd1cda33},
	author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Angelaccio, M.}
}
