@article {D{\textquoteright}Ambrogio2007605,
	title = {A method for the production of simulation models with application to web interaction paradigms},
	journal = {Simulation Modelling Practice and Theory},
	volume = {15},
	number = {5},
	year = {2007},
	note = {cited By 2},
	pages = {605-620},
	abstract = {Modern internet and web applications rely on interactions among remote host computers connected by heterogeneous networks (different LANs, gateways, WANs, MANs, etc.). Simulation modelling such networks is of great importance to the web application designer to predict, at design time, performance metrics such as the end-to-end delay between hosts, which is dramatically increased by the various mechanisms necessary to deal with heterogeneity (protocol conversion, packet fragmentation and re-assembly, flow control, etc.). On the other hand, producing a simulation model of web interactions is a non-trivial task because of the great importance of the software aspects. It is thus necessary to provide general model production guidelines which can be then tailored and applied to specific simulation languages or packages. This paper gives such general production guidelines with an example application to the production of simulation models for web interaction paradigms of client-server and mobile agent types. An example use of the models is also introduced to predict the most convenient paradigm and the best choice of the host capacities for each given network configuration. {\textcopyright} 2007 Elsevier B.V. All rights reserved.},
	keywords = {Client-server, Computer simulation, Interaction paradigms, Internet, Mathematical models, Mobile agents, Network protocols, Object oriented programming, Object-oriented simulation, Servers, Simulation model production, Web applications},
	issn = {1569190X},
	doi = {10.1016/j.simpat.2004.06.009},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-34147118556\&partnerID=40\&md5=0f9139beebc9c61d01f2520a10350922},
	author = {Andrea D{\textquoteright}Ambrogio and Iazeolla, G. and Pasini, L.}
}
@article {D{\textquoteright}Ambrogio2006854,
	title = {JEQN a java-based language for the distributed simulation of queueing networks},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {4263 LNCS},
	year = {2006},
	note = {cited By 10},
	pages = {854-865},
	publisher = {Springer Verlag},
	abstract = {The increasing pervasiveness of large scale networks is bringing distributed simulation (DS) to the reach of academic and business communities besides the traditional military ones. This gives academics and industry the advantage of using larger execution platforms and of reusing locally implemented simulation models as building blocks of much larger models. Developing a distributed simulator however requires learning how to use a given DS standard (such as HLA), that implies a non-negligible amount of effort. This paper addresses the problem of defining a language that can equivalently support the development of local or distributed simulators, making the use of the DS standard transparent. The HLA standard is dealt with, but the method can be extended to any other DS standard. The language (called JEQN) addresses the extended queueing network (EQN) domain, and thus it also includes primitives to facilitate the development of queueing network distributed simulators. {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.},
	keywords = {Computer simulation, Distributed computer systems, Distributed simulation (DS), Extended queueing network (EQN), Java programming language, Mathematical models, Problem solving, Queueing networks},
	isbn = {3540472428; 9783540472421},
	issn = {03029743},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33845266519\&partnerID=40\&md5=0bd7180b65ff7614c02cf24a74b70473},
	author = {Andrea D{\textquoteright}Ambrogio and Gianni, D. and Iazeolla, G.}
}
@conference {D{\textquoteright}Ambrogio200544,
	title = {Performance model building of pervasive computing},
	booktitle = {Proceedings - 2005 Workshop on Techniques, Methodologies and Tools for Performance Evaluation of Complex Systems, FIRB-Perf 2005},
	volume = {2005},
	year = {2005},
	note = {cited By 3},
	pages = {44-53},
	abstract = {Performance model building is essential to predict the ability of an application to satisfy given levels of performance or to support the search for viable alternatives. Using automated methods of model building is becoming of increasing interest to software developers who have neither the skills nor the time to do it manually. This is particularly relevant in pervasive computing, where the large number of software and hardware components requires models of so large a size that using traditional manual methods of model building would be error prone and time consuming. This paper deals with an automated method to build performance models of pervasive computing applications, which require the integration of multiple technologies, including software layers, hardware platforms and wired/wireless networks. The considered performance models are of extended queueing network (EQN) type. The method is based on a procedure that receives as input the UML model of the application to yield as output the complete EQN model, which can then be evaluated by use of any evaluation tool. {\textcopyright} 2005 IEEE.},
	keywords = {Automation, Computer software, Distributed computer systems, Extended queuing network (EQN), Manual control, Mathematical models, Performance models, Pervasive computing, Query languages, Software engineering, Wireless networks},
	isbn = {0769524478; 9780769524474},
	doi = {10.1109/FIRB-PERF.2005.15},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33846989003\&partnerID=40\&md5=3ba663ef9a7a1338b9485fda4973b320},
	author = {Andrea D{\textquoteright}Ambrogio and Iazeolla, G.}
}
