@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 {Gianni2009,
	title = {Dissimjade: A framework for the development of agent-based distributed simulation systems},
	booktitle = {SIMUTools 2009 - 2nd International ICST Conference on Simulation Tools and Techniques},
	year = {2009},
	note = {cited By 6},
	publisher = {ICST},
	organization = {ICST},
	abstract = {The adoption of an agent-based approach that incorporates intelligence, adaptation and learning abilities has proved to significantly increase the realism and the accuracy of the simulation. Simulation systems of such a kind, however, require computational resources that might be considerable for a single agent, so to become unfeasible when the number of simulated agents scales up. A distributed environment is thus needed to allow the execution of such simulation systems, particularly in the case of scenarios populated by a large number of agents. Building an agent-based distributed simulation system, however, requires both specific expertise and knowledge of distributed simulation standards and a non-negligible amount of effort to develop ad-hoc components. This paper introduces a simulation framework named DisSimJADE, which enables the incorporation of distributed simulation facilities into existing agent-based systems. DisSimJADE is built on top of the popular agent-based framework JADE and allows to define agent-based simulation systems that can be transparently executed either in a local or distributed, therefore bringing significant savings in terms of effort and development time. In addition, DisSimJADE provides a uniform interface to the JADE framework, which further facilitates the production of distributed simulation systems to developers of JADE-based multi-agent systems.},
	keywords = {Agent based simulation, Discrete event simulation, Distributed computer systems, Distributed simulations, Framework, HLA, Intelligent agents, JADE, Multi agent systems, Silicate minerals},
	isbn = {9789639799455},
	doi = {10.4108/ICST.SIMUTOOLS2009.5725},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922896723\&partnerID=40\&md5=2916ed218703e0d34cb973b665080ff4},
	author = {Gianni, D. and Andrea D{\textquoteright}Ambrogio and Iazeolla, G.},
	editor = {Stea G., Dalle O., Perrone L.F., Wainer G.}
}
@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}Ambrogio2005366,
	title = {Design of XMI-based tools for building EQN models of software systems},
	booktitle = {Proceedings of the IASTED International Conference on Software Engineering: part of the 23rd IASTED International Multi-Conference on Applied Informatics, SE 2005},
	year = {2005},
	note = {cited By 4},
	pages = {366-371},
	abstract = {Research in software development is proving that model building during product development is essential to product validation. Indeed the model can be used in the early stages of the product lifecycle to predict the product compliance with the user performance requirements. This paper deals with software performance model building. Only a few methods and tools have been introduced for performance model automatic building, which would be of great interest to software developers, since existing performance methods and tools require a deep knowledge of performance theory. This paper illustrates the design of a tool for automatically building software performance models. The produced model is a queueing network. The design is based on recently published standards like MOF and XMI, that facilitate the easy interchange of models between different tools (e.g., software development tools, evaluation tools, etc.).},
	keywords = {Automatic buildings, Design, Information science, Java programming language, Model buildings, MOF, Product compliance, Product development, Queueing networks, Software development tools, Software engineering, Software performance, Software performance modeling, Tools, UML, XMI},
	isbn = {0889864640; 9780889864641},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84882959712\&partnerID=40\&md5=5efce578e953ca65d5eff685949b9a32},
	author = {Andrea D{\textquoteright}Ambrogio and Iazeolla, G.}
}
