@conference {Gianni201031, title = {A methodology to predict the performance of distributed simulations}, booktitle = {Proceedings - Workshop on Principles of Advanced and Distributed Simulation, PADS}, year = {2010}, note = {cited By 5}, pages = {31-39}, abstract = {Predicting the time-performance of a Distributed Simulation (DS) system may be of interest to evaluate system alternatives during the development cycle, before the system is implemented. In this paper, we introduce a methodology to predict the execution time of a DS system during its design phase. The methodology is based on a model-building approach that, basing on the design documents of the DS system, first produces its performance model and then evaluates it. The model includes components such as middleware to use (e.g., the HLA RTI), the set of DS execution hosts and the set of host interconnection networks. The methodology is applied to determine whether or not producing the distributed simulator of a given system may be advantageous in terms of execution time with respect to a conventional local simulator. An example use of the methodology is presented and validated by a comparison of the time-prediction with the actual execution time of the implemented DS system. {\textcopyright} 2010 IEEE.}, keywords = {Building performance, Computer simulation, Design documents, Design phase, Development cycle, Distributed simulations, Execution time, Forecasting, Middleware, Model buildings, Performance Model, Simulation model}, isbn = {9781424472918}, doi = {10.1109/PADS.2010.5471669}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954092922\&partnerID=40\&md5=2d68a6f0b45ad790df832f3da1a2ad43}, author = {Gianni, D. and Iazeolla, G. and Andrea D{\textquoteright}Ambrogio} } @article {Gianni200967, title = {Ontology-based specification of simulation sequences}, journal = {International Journal of Simulation: Systems, Science and Technology}, volume = {10}, number = {2}, year = {2009}, note = {cited By 5}, pages = {67-78}, abstract = {The specification of a simulation model includes the description of the input sequences while the simulation output can be described by the produced sequences. The input sequences describe the characteristics of the simulated scenarios and are to be chosen in a way to preserve the real system representativeness; while the output sequences can be used as a proof of such representativeness. Producing the appropriate input sequences and validating the output sequences against the model specification is therefore fundamental to the validation of the simulation model. In this paper, we propose an ontology-based specification of simulation input sequences. The ontology gives a methodology to formalize the sequence specification and output sequence validation by providing the semantic basis for the sequences formal description. In the model specification, the input sequences are described in terms of ontology concepts and properties values, and in the model implementation the deployed sequences can be thus automatically derived by mapping them on the ontology concepts. Sequence validation may be carried out by establishing the congruence between the ontology concepts and the deployed sequences.}, keywords = {Computer simulation, Formal Description, Input sequence, Model implementation, Model specification, Model specifications, Ontology, Ontology concepts, Ontology-based, Output sequences, Real systems, Semantics, Simulation model, Specifications}, issn = {14738031}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78650605223\&partnerID=40\&md5=cbdaef9e43630d47be542c7b08e0d72f}, author = {Gianni, D. and Andrea D{\textquoteright}Ambrogio and Iazeolla, G.} }