@conference {Iazeolla201036,
	title = {A distributed approach to the simulation of inherently distributed systems},
	booktitle = {Simulation Series},
	volume = {42},
	number = {1 BOOK 4},
	year = {2010},
	note = {cited By 0},
	pages = {36-45},
	abstract = {Inherently distributed systems are systems that are distributed by their own nature; in other words, they are composed of subsystems, which are physically and geographically separated. Examples of such systems are the distributed computer systems with various hosts geographically located; the wireless systems with a number of base and subscriber stations geographically separated; the satellite constellations, the military battlefields and so on. Such systems have, in many cases, been studied by use of Local Simulation (LS), in other words, a simulation run by a single host, or by use of Distributed Simulation (DS) in which the simulation system is divided into a number of federates, run by separate hosts for the scope of obtaining resource scalability and simulator reusability. In this paper, the DS approach is seen from a different point of view: a way to give higher representativeness to the simulation of inherently distributed systems. The approach consists of locating the federates in the same geographic positions of the subsystems that are designed to become part of the inherently distributed system. In this way, the distributed system can be studied in a very realistic way before being implemented. In this paper the problems and the advantages of this new DS approach are discussed and the technology is presented that supports and facilitates its introduction.},
	keywords = {Computer simulation, Distributed approaches, Distributed simulations, HLA, Military battlefields, Reusability, Satellite constellations, Separation, Simulation in-the-loop, Simulation representativeness, Subscriber stations},
	isbn = {9781617382048},
	issn = {07359276},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887064085\&partnerID=40\&md5=08dc921115e86c196b23a970cead2f1d},
	author = {Iazeolla, G. and Pieroni, A. and Andrea D{\textquoteright}Ambrogio and Gianni, D.}
}
@conference {Iazeolla2010,
	title = {A distributed approach to the simulation of inherently distributed systems},
	booktitle = {Spring Simulation Multiconference 2010, SpringSim{\textquoteright}10},
	year = {2010},
	note = {cited By 3},
	abstract = {Inherently distributed systems are systems that are distributed by their own nature; in other words, they are composed of subsystems, which are physically and geographically separated. Examples of such systems are the distributed computer systems with various hosts geographically located; the wireless systems with a number of base and subscriber stations geographically separated; the satellite constellations, the military battlefields and so on. Such systems have, in many cases, been studied by use of Local Simulation (LS), in other words, a simulation run by a single host, or by use of Distributed Simulation (DS) in which the simulation system is divided into a number of federates, run by separate hosts for the scope of obtaining resource scalability and simulator reusability. In this paper, the DS approach is seen from a different point of view: a way to give higher representativeness to the simulation of inherently distributed systems. The approach consists of locating the federates in the same geographic positions of the subsystems that are designed to become part of the inherently distributed system. In this way, the distributed system can be studied in a very realistic way before being implemented. In this paper the problems and the advantages of this new DS approach are discussed and the technology is presented that supports and facilitates its introduction. {\textcopyright} 2010 SCS.},
	keywords = {Distributed approaches, Distributed computer systems, Distributed simulations, Distributed systems, HLA, Network security, Reusability, Satellite constellations, Simulation in-the-loop, Simulation representativeness, Simulation systems, Subscriber stations, Wireless systems},
	isbn = {9781450300698},
	doi = {10.1145/1878537.1878675},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78650620361\&partnerID=40\&md5=2f9f3dded848b3a4a02c6b3a7b5e898c},
	author = {Iazeolla, G. and Pieroni, A. and Andrea D{\textquoteright}Ambrogio and Gianni, D.}
}
@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.}
}
