@article {Gianni2011819,
	title = {A software architecture to ease the development of distributed simulation systems},
	journal = {SIMULATION},
	volume = {87},
	number = {9},
	year = {2011},
	note = {cited By 13},
	pages = {819-836},
	abstract = {The simulation of modern systems may require an amount of computational resources that might not be available on a single host. Distributed simulation (DS) provides an effective way to scale up for the increased computational requirements. However, using existing DS environments remains the main obstacle to the wide adoption of DS systems, because of their inherent complexity. This complexity can be quantitatively shown by the extra effort that the development of DS systems requires compared to the development of conventional local simulation (LS) systems. In this paper we introduce SimArch, a layered architecture that eases the development of DS systems by enabling simulation developers to effortlessly obtain a DS system or derive a DS system from the equivalent LS one. A reference model is used throughout the paper to illustrate the use of SimArch in the development of DS systems and to prove how the DS development effort is lowered down with respect to the use of a conventional DS environment. {\textcopyright} 2011, SAGE Publications. All rights reserved.},
	keywords = {Computer simulation, Computer simulation languages, Computer software, development effort, Distributed computer systems, distributed simulation, Distributed simulation environments, High level architecture, Layered architecture, Simulation language, Software architecture},
	issn = {00375497},
	doi = {10.1177/0037549711400777},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052372123\&partnerID=40\&md5=8073e46ed4ea01775fd920be558f394c},
	author = {Gianni, D. and Andrea D{\textquoteright}Ambrogio and Iazeolla, G.}
}
@conference {Iazeolla2010252,
	title = {A distributed approach to wireless system simulation},
	booktitle = {6th Advanced International Conference on Telecommunications, AICT 2010},
	year = {2010},
	note = {cited By 4},
	pages = {252-262},
	abstract = {Many papers have been published that present simulation results for wireless systems, including WiMAX. All such papers do not deal with wireless simulation approaches, and simulation is only seen as a side-means to produce numerical results. This paper does not present simulation numerical predictions. It instead deals with new simulation approaches for wireless systems and presents simulation software technologies. From the approach point of view, the "local" versus the "distributed" simulation approach is investigated to wireless systems. From the technology point of view, two new software tools are presented, for a step forward with respect to existing tools to ease the development of distributed simulation systems. The tools consist of a new distributed simulation environment (wDSEnv) and a new distributed simulation language (wDSLang). Such tools are described and a detailed WiMAX local and distributed simulation example is developed. {\textcopyright} 2010 IEEE.},
	keywords = {Computer simulation languages, Computer software, Distributed approaches, Distributed simulation environments, Distributed simulation systems, Distributed simulations, Fuzzy control, IEEE 802.16, Interoperability, Numerical analysis, Numerical predictions, Numerical results, Simulation approach, Simulation result, Simulation software, Software tool, Wimax, WiMax wireless, Wireless simulation, Wireless systems},
	isbn = {9780769540214},
	doi = {10.1109/AICT.2010.66},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955389670\&partnerID=40\&md5=b2c180074951949ca03eb646f638f842},
	author = {Iazeolla, G. and Pieroni, A. and Andrea D{\textquoteright}Ambrogio and Gianni, D.}
}
@conference {D{\textquoteright}Ambrogio2008460,
	title = {Distributed simulation of complex systems by use of an HLA-transparent simulation language},
	booktitle = {2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing, ICSC 2008},
	year = {2008},
	note = {cited By 5},
	pages = {460-467},
	abstract = {The continuously decreasing cost of distributed systems gives academics and industry the advantage of using larger execution platforms and of reusing locally implemented software components. This is particularly true for the simulation of complex systems where the computational resources needed considerably increase with the model resolution and with the number of simulated entities. The development of such simulation systems, however, requires extra efforts compared to the conventional local ones. Example extra efforts are learning how to use the Distributed Simulation (DS) Standard (such as HLA) and the development of extra software for the synchronization and communication between the local and distributed environment. In this paper, we address the problem of defining a simulation language that can transparently support the development distributed simulation systems, by making the use of the DS standard transparent and also reducing the amount of extra software. The HLA transparent language we introduce is named jEQN, being Java-based and dealing with Extended Queueing Networks domains. The language approach, however, can be easily extended to any other DS Standard and modelling domain. {\textcopyright} 2008 IEEE.},
	keywords = {Complex systems, Computational resources, Computer simulation languages, Computer software, Dielectric relaxation, Distributed environments, Distributed simulation systems, Distributed simulations, Distributed systems, Do-mains, Java programming language, Large scale systems, Linguistics, Model resolutions, Queueing networks, Simulation languages, Simulation systems, Software components, Standardization, Standards},
	isbn = {9781424417872},
	doi = {10.1109/ASC-ICSC.2008.4675405},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-58049176462\&partnerID=40\&md5=9610842bfbbce4f9f21f913927ec00c1},
	author = {Andrea D{\textquoteright}Ambrogio and Gianni, D. and Iazeolla, G. and Pieroni, A.}
}
@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.}
}
@article {D{\textquoteright}Ambrogio200329,
	title = {Steps towards the automatic production of performance models of web applications},
	journal = {Computer Networks},
	volume = {41},
	number = {1},
	year = {2003},
	note = {cited By 14},
	pages = {29-39},
	abstract = {<p>The automatic production of performance models of software products can encourage software designers to include performance validation in their best practices. The incorporation of methods for automatic production can also be of interest of CASE tool vendors to improve the capabilities of their commercial software development environments. This paper deals with a method that introduces a systematic approach towards the automatic production of performance models of web applications (i.e. software applications run on web platforms). The method takes in input two sets of data, the description of the platform architecture (a general view of the system platform and a detailed view of the packet flow in the platform itself) and a set of data that describes the workload imposed on the platform by the application. The produced model is an extended queueing network ready to be used by conventional evaluation tools to derive predictions on the performance of the software applications. An example is given of the method application, in which predictions of the performance of the application are obtained versus various combinations of the processing powers of the interacting hosts. {\textcopyright} 2002 Elsevier Science B.V. All rights reserved.</p>},
	keywords = {Computer aided software engineering, Computer software, Packet networks, Performance, Performance prediction, Queueing networks, World Wide Web},
	issn = {13891286},
	doi = {10.1016/S1389-1286(02)00324-9},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0037437673\&partnerID=40\&md5=03d6a60f12ce2896f634526eeeb2605e},
	author = {Andrea D{\textquoteright}Ambrogio and Iazeolla, G.}
}
