@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.}
}
@conference {Gianni201031,
	title = {A methodology to predict the performance of distributed simulations},
	booktitle = {Proceedings - Workshop on Principles of Advanced and Distributed Simulation, PADS},
	year = {2010},
	note = {cited By 5},
	pages = {31-39},
	abstract = {Predicting the time-performance of a Distributed Simulation (DS) system may be of interest to evaluate system alternatives during the development cycle, before the system is implemented. In this paper, we introduce a methodology to predict the execution time of a DS system during its design phase. The methodology is based on a model-building approach that, basing on the design documents of the DS system, first produces its performance model and then evaluates it. The model includes components such as middleware to use (e.g., the HLA RTI), the set of DS execution hosts and the set of host interconnection networks. The methodology is applied to determine whether or not producing the distributed simulator of a given system may be advantageous in terms of execution time with respect to a conventional local simulator. An example use of the methodology is presented and validated by a comparison of the time-prediction with the actual execution time of the implemented DS system. {\textcopyright} 2010 IEEE.},
	keywords = {Building performance, Computer simulation, Design documents, Design phase, Development cycle, Distributed simulations, Execution time, Forecasting, Middleware, Model buildings, Performance Model, Simulation model},
	isbn = {9781424472918},
	doi = {10.1109/PADS.2010.5471669},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954092922\&partnerID=40\&md5=2d68a6f0b45ad790df832f3da1a2ad43},
	author = {Gianni, D. and Iazeolla, G. 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.}
}
