@conference {161, title = {An HLA-based BPMN extension for the specification of business process collaborations}, booktitle = {Proceedings - 2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2017}, year = {2017}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, organization = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {

Inter-organization business process collaboration is one of the most significant factors driving today{\textquoteright}s global business development. Such collaborations are typically composed by various processes executed by different organizations and are often difficult to specify and analyze, due to their distributed nature and to data interoperability issues. The standard notation for business process modeling, namely BPMN (Business Process Model and Notation), only provides a limited support to the specification of collaborations. This paper introduces a data model extension of BPMN inspired by the HLA (High Level Architecture) distributed simulation standard. In addition, the paper proposes a metamodel-based mapping from BPMN to HLA, which can be seen as a significant step towards the implementation of a conceptual framework for specifying and analyzing collaborative business processes by use of distributed simulation approaches. {\textcopyright} 2017 IEEE.

}, keywords = {Business process collaborations, Business process model, Collaborative business process, Conceptual frameworks, Data interoperability, Distributed simulations, High level architecture, Inter-organization, Specifications, Systems engineering}, isbn = {9781538640289}, doi = {10.1109/DISTRA.2017.8167668}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042934707\&doi=10.1109\%2fDISTRA.2017.8167668\&partnerID=40\&md5=6c81677377651843e2f16ce6cf4cc261}, author = {Bocciarelli, P. and D{\textquoteright}Ambrogio, A. and Paglia, E. and Giglio, A.} } @conference {150, title = {A PAAS-Based framework for automated performance analysis of service-oriented systems}, booktitle = {Proceedings - Winter Simulation Conference}, year = {2017}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, organization = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {

Service-oriented systems are often at the core of mission- or business-critical systems, and thus advanced quantitative analysis techniques are needed to assess, from the early development stages, whether or not the system accomplishes the stakeholder requirements and constraints. In this respect, in order to take advantage of the distributed nature of the considered systems, the use of distributed simulation (DS) appears the most natural and effective simulation approach. Nevertheless, the integration of traditional system development processes with DS approaches can be cost-And time-demanding. This paper presents SOAsim, a highly automated framework that allows system designers to generate the executable DS code from the model-based specification of the system under study, by use of automated model transformations. Moreover, in order to reduce the costs of setting-up dedicated DS platforms, SOAsim also automates the DS deployment and execution over a cloud-based infrastructure, according to a Platform-As-A-Service (PaaS) paradigm. {\textcopyright} 2016 IEEE.

}, keywords = {Automated model transformations, Automated performance analysis, Automation, Computer aided software engineering, Development stages, Distributed simulations, Model-based specifications, Platform as a Service (PaaS), Service Oriented Systems, Simulation approach, Traditional systems}, isbn = {9781509044863}, doi = {10.1109/WSC.2016.7822154}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014155535\&doi=10.1109\%2fWSC.2016.7822154\&partnerID=40\&md5=588d85610cba0fbef476d22e0f4a006f}, author = {D{\textquoteright}Ambrogio, A. and Bocciarelli, P. and Mastromattei, A.}, editor = {Roeder T.M., Szechtman R., Frazier P.I., Zhou E.} } @conference {Bocciarelli2015213, title = {A model-driven framework for distributed simulation of autonomous systems}, booktitle = {Simulation Series}, volume = {47}, number = {8}, year = {2015}, note = {cited By 1}, pages = {213-220}, publisher = {The Society for Modeling and Simulation International}, organization = {The Society for Modeling and Simulation International}, abstract = {

The adoption of systems with autonomous capabilities is becoming more and more relevant in many real-world operational scenarios, in which risky operations have to be carried out (e.g., a military battlefield or a search-and-rescue operation). In this context, innovative approaches should be introduced at design time to ensure that the system will achieve the mission objectives at operation time. To this purpose, distributed simulation techniques have shown to be effective to deal with the inherent complexity of the environment to be simulated, which generally includes several interacting entities. Unfortunately, currently available distributed simulation standards, such as HLA (High Level Architecture), require a non-negligible effort and significant skills in terms of both simulation methodologies and related implementation technologies. In this respect, this paper focuses on the simulationbased analysis of systems with autonomous capabilities and introduces a model-driven approach to support the automated generation of HLA-based distributed simulations. The proposed approach is founded on the use of model transformation techniques and allows system designers to carry out a timely and cost-effective simulation-based analysis of the operational system without being required to own specific distributed simulation skills. {\textcopyright} 2015 Society for Modeling \& Simulation International (SCS).

}, keywords = {Autonomous systems, Cost effectiveness, Distributed simulation techniques, Distributed simulations, MDA, Model driven development, Model transformation technique, Search and rescue operations, Simulation-based analysis, Software architecture}, issn = {07359276}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928155948\&partnerID=40\&md5=9e8205a446169e040469dff647e9cfa3}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Giglio, A. and Paglia, E.}, editor = {Wang M.H., Barros F., D{\textquoteright}Ambrogio A., Zacharewicz G.} } @conference {Bocciarelli2013218, title = {4SEE: A model-driven simulation engineering framework for business process analysis in a SaaS paradigm}, booktitle = {Simulation Series}, volume = {45}, number = {4}, year = {2013}, note = {cited By 1}, pages = {218-225}, abstract = {The intrinsic geographical distribution and the increasing complexity are two significant properties of modern business processes (BPs) that have not been fully addressed by existing simulation tools for BP analysis. Quantitative analysis of BPs is essential both at design time, to predict the BP quality of service (QoS), and at execution time, to dynamically reconfigure the BP and guarantee the pre-agreed QoS. In this respect, this work proposes a model-driven QoS-aware framework for simulation-based quantitative analysis of BPs. Specifically, the framework adopts a distributed simulation approach that replicates the service-oriented infrastructure of a BP into the corresponding simulation infrastructure based on the HLA-Evolved standard. The proposed framework assumes a scenario in which service providers publish a set of simulation-oriented services that can be subsequently used by interested consumers to dynamically discover and evaluate the QoS of the offered services. Key to the economical feasibility of this scenario is that a model-driven approach is used to automate the derivation of the simulation software from the BPMN (Business Process Model \& Notation) models of the actual BPs. The paper presents both the proposed model-driven framework, named 4SEE, and an example application to a BP for an e-commerce scenario.}, keywords = {Business process analysis, Business process model, Computer simulation, Computer software, Distributed simulations, Economical feasibility, Model driven approach, Quality of service, Service-oriented infrastructures, Simulation engineering, Simulation software}, isbn = {9781627480321}, issn = {07359276}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876848381\&partnerID=40\&md5=735bc33d9335c85e8f26a7d6dfe860c8}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Gianni, D.} } @conference {Bocciarelli2012, title = {A model-driven method for building distributed simulation systems from business process models}, booktitle = {Proceedings - Winter Simulation Conference}, year = {2012}, note = {cited By 6}, abstract = {The analysis of modern business processes implemented as orchestration of software services demands for new approaches that explicitly take into account the inherent complexity and distribution characteristics of such processes. In this respect, Distributed Simulation (DS) offers a viable tool to cope with such a demand, due to the aggregation, scalability, representativeness and load balancing properties that it allows to achieve. However, the use of DS is mostly limited by the specialized technical know-how and the extra-development that DS requires with respect to approaches based on conventional local simulation. This paper proposes a model-driven method that enables the DS-based analysis of business processes by introducing the automated transformation of business process models into analysis models that are specified as Extended Queueing Network (EQN) models and executed as distributed simulations. The paper also presents an example application to a business process for an e-commerce scenario. {\textcopyright} 2012 IEEE.}, keywords = {Analysis models, Automated transformations, Business Process, Business process model, Computer simulation, Distributed computer systems, Distributed simulation systems, Distributed simulations, Distribution characteristics, Inherent complexity, Load balancing properties, Model-driven method, New approaches, Software services, Technical know hows, Technology transfer}, isbn = {9781467347792}, issn = {08917736}, doi = {10.1109/WSC.2012.6465106}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874755866\&partnerID=40\&md5=8d358a15fcb545b3725d825b701fc795}, author = {Bocciarelli, P. and Pieroni, A. and Gianni, D. and Andrea D{\textquoteright}Ambrogio} } @conference {Gianni2012, title = {Model-driven performance prediction of HLA-based distributed simulation systems}, booktitle = {Proceedings - Winter Simulation Conference}, year = {2012}, note = {cited By 3}, abstract = {Performance models offer a convenient tool to assess design alternatives and predict the execution time of distributed simulation (DS) systems at design time, before system implementation. Currently, performance models are to be manually developed and the related extra effort often becomes the limiting factor for their cost- and time-effective use. In this paper, we aim to reduce this extra effort with the introduction of a model-driven method for the automated building of performance models whose evaluation provides a prediction about of the execution time of a distributed simulation system. As such, the method contributes to bring software performance engineering techniques into the distributed simulation system lifecycle. In particular, we show how the SysML-based specification of the system to be simulated and the design documents of the DS system can be used to derive the topology and the parameters of a performance model specified according to the Extended Queueing Network formalism. {\textcopyright} 2012 IEEE.}, keywords = {Automated buildings, Computer simulation, Design, Design alternatives, Design documents, Design time, Distributed computer systems, Distributed simulation systems, Distributed simulations, Execution time, Forecasting, Model-driven, Model-driven method, Performance Model, Performance prediction, Software performance engineerings, System implementation, Topology}, isbn = {9781467347792}, issn = {08917736}, doi = {10.1109/WSC.2012.6465255}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874698997\&partnerID=40\&md5=a02b093d52a8995b3774ab0d2df86fb2}, author = {Gianni, D. and Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio} }