@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 {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 {Gianni2008171,
	title = {Producing simulation sequences by use of a java-based generalized framework},
	booktitle = {Proceedings - EMS 2008, European Modelling Symposium, 2nd UKSim European Symposium on Computer Modelling and Simulation},
	year = {2008},
	note = {cited By 6},
	pages = {171-176},
	abstract = {The quality and representativeness of simulation results heavily depend on the sequence of numbers used in the experiments. When dealing with simulations of critical systems, it might be necessary to increase the representativeness of such results by running experiments with different sequences and to investigate the system behaviour in specific situations. In large models, however, managing sequence of numbers could become cumbersome and could attract the attention of simulation system developers on the input settings instead of model logic. In this paper, we present a component-based framework for sequence of numbers that offers a high degree of flexibility and raises the simulation system developers from the details of the input sequences while implementing the model logic. The sequences can be thus configured in a following phase and deployed in the simulation systems with almost no effort. {\textcopyright} 2008 IEEE.},
	keywords = {Computer systems, Critical systems, Degree of flexibilities, Input sequences, Input settings, Magnetic properties, Magnetic susceptibility, Model logics, Simulation results, Simulation systems, System behaviours},
	isbn = {9780769533254},
	doi = {10.1109/EMS.2008.52},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-55849093564\&partnerID=40\&md5=e238b9497ca873aa74ae141c715dae45},
	author = {Gianni, D. and Andrea D{\textquoteright}Ambrogio and Iazeolla, G. and Pieroni, A.}
}
