@article {180, title = {Modeling Resources to Simulate Business Process Reliability}, journal = {ACM Transactions on Modeling and Computer Simulation}, volume = {30}, year = {2020}, doi = {10.1145/3381453}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087756691\&doi=10.1145\%2f3381453\&partnerID=40\&md5=673e966eb20621494c2d119f7d2fb3fb}, author = {Bocciarelli, P. and D{\textquoteright}Ambrogio, A. and Giglio, A. and Paglia, E.} } @conference {189, title = {A microservice-based approach for fine-grained simulation in msaas platforms}, booktitle = {Simulation Series}, year = {2019}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074846792\&partnerID=40\&md5=4e1191158a88c583834f3858c02dce23}, author = {Bocciarelli, P. and D{\textquoteright}Ambrogio, A. and Giglio, A. and Paglia, E.} } @article {184, title = {A model-driven approach to enable the simulation of complex systems on distributed architectures}, journal = {Simulation}, volume = {95}, year = {2019}, pages = {1185-1211}, doi = {10.1177/0037549719829828}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062333445\&doi=10.1177\%2f0037549719829828\&partnerID=40\&md5=3941c1c83541f608b5cf58e6885d8c97}, author = {Bocciarelli, P. and D{\textquoteright}Ambrogio, A. and Falcone, A. and Garro, A. and Giglio, A.} } @conference {183, title = {Model-Driven Distributed Simulation Engineering}, booktitle = {Proceedings - Winter Simulation Conference}, year = {2019}, doi = {10.1109/WSC40007.2019.9004937}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081138260\&doi=10.1109\%2fWSC40007.2019.9004937\&partnerID=40\&md5=302392caf8683ab4ea72625485cef6fe}, author = {Bocciarelli, P. and D{\textquoteright}Ambrogio, A. and Giglio, A. and Paglia, E.} } @conference {199, title = {Model transformation services for MSAAS platforms}, booktitle = {Simulation Series}, year = {2018}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055335212\&partnerID=40\&md5=f88e9b0301895d7e94400366e42d2934}, author = {Bocciarelli, P. and D{\textquoteright}Ambrogio, A. and Giglio, A. and Paglia, E.} } @conference {Gianni20162644, title = {A model-driven and simulation-based method to analyze building evacuation plans}, booktitle = {Proceedings - Winter Simulation Conference}, volume = {2016-February}, year = {2016}, note = {cited By 1}, pages = {2644-2655}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, organization = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {

Modern buildings are often expected to satisfy minimum safety requirements to define upper bounds for safety metrics, such as evacuation time. The building design must therefore consider prediction of these metrics for a set of representative evacuation scenarios. These scenarios can be rather complex, and often can be investigated only using building evacuation simulators. However, these simulators might require considerable development effort, and their use might therefore become less convenient, for time and cost issues. In this respect, this paper introduces a model-driven method to automatically develop building evacuation simulators from informal specifications of building evacuation scenarios, i.e., building plans and behavioral descriptions of evacuees. Specifically, the paper shows how a floor plan develops in the structural characteristics of an Extended Queueing Network (EQN) model and how the behavioral description can be used to parameterize the EQN model. The paper also presents an example application along with preliminary validation issues. {\textcopyright} 2015 IEEE.

}, keywords = {Architectural design, Behavioral descriptions, Building components, Building design, Building evacuation, Buildings, Complex networks, Model-driven method, Modern buildings, Queueing networks, Safety requirements, Simulation-based method, Simulators, Structural characteristics}, isbn = {9781467397438}, issn = {08917736}, doi = {10.1109/WSC.2015.7408372}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962833056\&partnerID=40\&md5=0f1ea728c9ece7012654f0b378a1486c}, author = {Gianni, D. and Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Iazeolla, G.} } @conference {Bocciarelli2016436, title = {Modeling-To-simulation: Transformation approaches to boost automation in modeling \& simulation}, booktitle = {Simulation Series}, volume = {48}, number = {9}, year = {2016}, note = {cited By 0}, pages = {436-443}, abstract = {

The use of automated transformation approaches based on model-driven principles and standards promises to be a significant enablcr of time, effort and cost savings in the Modeling and Simulation (M\&S) field. This paper specifically addresses the distributed simulation (DS) domain, which allows to naturally cope with the ever growing complexity and distributed nature of modern systems. Unfortunately, the use of DS in a system development lifecycle can be a challenging issue due to the fact that: i) the use of DS frameworks and standards requires significant and specific technical skills system engineers are usually not familiar with; ii) the development of a DS is an effort-, time- demanding and error-prone activity. In this respect, this paper shows the benefits of using a model-driven transformation approach to the development of DS systems. Specifically, the paper presents and compares two main approaches, namely the conventional approach, based on a standard model- driven process, and an innovative approach that exploits the SimArch layered architecture. {\textcopyright} 2016 Society for Modeling \& Simulation International (SCS).

}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994613927\&partnerID=40\&md5=337a29162550b91004048cf1479cb212}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio} } @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.} } @book {Bocciarelli2015425, title = {A model-driven method for the design-time performance analysis of service-oriented software systems}, series = {Modeling and Simulation of Computer Networks and Systems: Methodologies and Applications}, year = {2015}, note = {cited By 0}, pages = {425-450}, publisher = {Elsevier Inc.}, organization = {Elsevier Inc.}, abstract = {

Service-oriented architecture (SOA) is one of the prominent architectural paradigms recently adopted in the software development field. According to SOA principles, a distributed software system can be seen as an orchestration of software services deployed and executed onto networked hosts. The design-time analysis of SOA-based software systems demands new approaches that take into account both the inherent complexity and the architectural characteristics of such systems. In this respect, simulation-based approaches have proven to be effective to obtain quantitative predictions of system performance. Specifically, this chapter explains distributed simulation as a valuable technique to deal with the intrinsic distributed nature of SOA-based systems. Unfortunately, the adoption of distributed simulation requires a significant expertise and a considerable effort due to the complexity of currently available distributed simulation standards and technologies. This chapter introduces an automated method to reduce the effort and make distributed simulation easier to use. The method takes as input a design model of the SOA-based software system and yields as output the corresponding simulation model, ready to be deployed and transparently executed onto either a local or a distributed simulation engine. The design model is specified as a UML (Unified Modeling Language) model extended by use of the SoaML (Service-oriented architecture Modeling Language) profile, while the simulation model is specified in jEQN, a domain-specific language for the simulation of EQN (Extended Queueing Network) models. jEQN is part of SimArch, a layered architecture that eases the use of distributed simulation by hiding all the implementation details of the distributed execution platform. The proposed method is founded on the use of automated model transformations, with specific reference to standards and languages provided by the MDA (Model Driven Architecture). The joint use of automated model transformations and SimArch allows the user to effortlessly obtain, at design time, the performance-oriented distributed simulation model of the SOA-based system under development, thus giving system designers the ability to predict the performance behavior of the to-be system and/or to evaluate the impact on performance of different design alternatives. The chapter also presents an example application that shows how involved stakeholders can effectively benefit from the application of the proposed method. {\textcopyright} 2015 Elsevier Inc. All rights reserved.

}, isbn = {9780128011584; 9780128008874}, doi = {10.1016/B978-0-12-800887-4.00014-6}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940029561\&partnerID=40\&md5=034757f8dc6f541fc5f0bb51a78331da}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio} } @conference {Bocciarelli201448, title = {A methodological template for model driven systems engineering}, booktitle = {CEUR Workshop Proceedings}, volume = {1300}, year = {2014}, note = {cited By 0}, pages = {48-58}, publisher = {CEUR-WS}, organization = {CEUR-WS}, abstract = {The advent of formal modeling languages (e.g., UML and SysML) and system architecture frameworks (e.g., DoDAF and MODAF) has given systems engineers the ability to effectively describe the requirements as well as the behavior and the structure of systems. Approaches founded on the use of modeling languages and frameworks are grouped under the banner of MBSE (Model Based Systems Engineering). The basic idea is that a model evolves over the system development life-cycle, until it becomes the built-to baseline. In this paper, we consider a modeling approach based on the use of a metamodeling architecture that focuses on the use of models as the primary artifacts of system development. We specifically address the use of MDA (Model Driven Architecture), which allows to increase the level of automation when evolving models from the very abstract representation of a system down to the system implementation, thus making easier (i.e., at reduced cost and effort) the analysis, development and testing activities. By applying MDA concepts and standards to MBSE approaches we obtain what we refer to as MDSE (Model Driven Systems Engineering). The paper illustrates a methodological template for MDSE and shows its application to the development of a software-intensive system. Copyright {\textcopyright} held by the authors.}, keywords = {Abstract representation, Application programs, Development and testing, Formal modeling language, Level of automations, Life cycle, MDA(model driven architecture), Model-based systems engineering, Software architecture, Software design, Software intensive systems, Standards, System implementation, Systems engineering}, issn = {16130073}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84915806250\&partnerID=40\&md5=bd972de1f5baef3c33fbef58e187c81d}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Caponi, E. and Giglio, A. and Paglia, E.}, editor = {D{\textquoteright}Ambrogio A., Leardi C., Arrichiello V., Garro A., Poloni C., Tundis A.} } @article {Bocciarelli2014573, title = {A model-driven method for enacting the design-time QoS analysis of business processes}, journal = {Software and Systems Modeling}, volume = {13}, number = {2}, year = {2014}, note = {cited By 6}, pages = {573-598}, publisher = {Springer Verlag}, abstract = {

Business Process Management (BPM) is a holistic approach for describing, analyzing, executing, managing, and improving large enterprise business processes. A business process can be seen as a flow of tasks that are orchestrated to accomplish well-defined goals such as goods production or services delivery. From an IT perspective, BPM is closely related to a business process automation approach carried out by use of IT standards and technologies, such as service-oriented architectures (SOAs) and Web Services. This paper specifically focuses on fully automated business processes that are defined and executed as orchestrations of software services. In a BPM context, the ability to predict at design time the business process behavior assumes a strategic relevance, both to early assess whether or not the business goals are achieved and to gain a competitive advantage. A business process is typically specified by use of Business Process Modeling Notation (BPMN), the standard language for the high-level description of business processes. Unfortunately, BPMN does not support the characterization of the business process in terms of nonfunctional or QoS properties, such as performance and reliability. To overcome such a limitation, this paper introduces Performability-enabled BPMN (PyBPMN), a lightweight BPMN extension for the specification of performance and reliability properties. PyBPMN enables the design time prediction of the business processes behavior, in terms of performance and reliability properties. Such prediction activity requires the use of models that are to be first built and then evaluated. In this respect, this work introduces a model-driven method that exploits PyBPMN to predict, at design time, the performance and the reliability of a business process, either to select the process configuration that provides the best behavior or to check if a given configuration satisfies the overall requirements. The proposed model-driven method that enacts the automated analysis of a business process behavior embraces the complete business process development cycle, from the specification phase down to the implementation phase. The paper also describes how the proposed model-driven method is implemented. The several model transformations at the core of the method have been implemented by use of QVT, and the standard language for specifying model transformations provided by OMG{\textquoteright}s MDA. The availability of such automated model transformations allows business analysts to predict the process behavior with no extra effort and without being required to own specific skills of performance or reliability theory, as shown by use of an example application. {\textcopyright} 2013 Springer-Verlag Berlin Heidelberg.

}, keywords = {Administrative data processing, Automation, Availability, BPMN, Business Process, Competition, Design, Enterprise resource management, Forecasting, High level languages, Information services, LQN, Mathematical models, MDA, Performance, Quality of service, Reliability, Service oriented architecture (SOA), Software architecture, Specifications, Web services}, issn = {16191366}, doi = {10.1007/s10270-013-0345-5}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84899754418\&partnerID=40\&md5=ac7ae348f9d39ccb87a9aedb7d7524bd}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio} } @conference {Bocciarelli201249, title = {A model-driven approach to build HLA-based distributed simulations from SysML models}, booktitle = {SIMULTECH 2012 - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications}, year = {2012}, note = {cited By 6}, pages = {49-60}, abstract = {The analysis and design of complex systems, which very often are composed of several sub-systems, takes advantages by the use of distributed simulation techniques. Unfortunately, the development of distributed simulation systems requires a significant expertise and a considerable effort for the inherent complexity of available standards, such as HLA. This paper introduces a model-driven approach to support the automated generation of HLA-based distributed simulations starting from system descriptions specified by use of SysML (Systems Modeling Language), the UML-based general purpose modeling language for systems engineering. The proposed approach is founded on the use of model transformation techniques and relies on standards introduced by the Model Driven Architecture (MDA). The method exploits several UML models that embody the details required to support two transformations that automatically map the source SysML model into a HLA-specific model and then use the latter to generate the Java/HLA source code. To this purpose, this paper also introduces two UML profiles, used to annotate UML diagrams in order both to represent HLA-based details and to support the automated generation of the HLA-based simulation code.}, keywords = {Computer simulation, HLA, Model-driven, QVT, Simulation, Software architecture, SysML, Unified Modeling Language}, isbn = {9789898565204}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867729868\&partnerID=40\&md5=fafd37b90daa458cc5075061c63c5357}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Fabiani, G.} } @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} } @article {Bocciarelli2011265, title = {A model-driven method for describing and predicting the reliability of composite services}, journal = {Software and Systems Modeling}, volume = {10}, number = {2}, year = {2011}, note = {cited By 11}, pages = {265-280}, abstract = {Service-oriented computing is the prominent paradigm for viewing business processes as composed of functions provided by modular and standardized services. Web services are the building blocks for the application of service-oriented computing on the Web and provide the necessary support for the consolidation of multiple services into a single composite service corresponding to the overall process. In such a context, service providers are strategically interested in both describing the quality of service (QoS) characteristics of offered services, to better qualify their offer and gain a significant advantage in the global marketplace, and predicting the level of QoS that can be offered to service consumers when building composite web services that make use of services managed by various service providers. This paper illustrates a model-driven method to automatically describe and predict the QoS of composite web services specified by use of business process execution language (BPEL). The paper specifically addresses the reliability characteristic of the QoS. The proposed method is founded on Q-WSDL, a lightweight WSDL extension for the description of the QoS characteristics of a web service, and exploits Q-WSDL to annotate reliability data onto a BPEL-based UML model of the composite service. The UML model is then used to predict and describe the reliability of the composite web service. The proposed method is illustrated by use of an example application that deals with a composite web service for the migration of PSTN telephone numbers. {\textcopyright} 2010 Springer-Verlag.}, keywords = {BPEL, Forecasting, Information services, Model-driven prediction, QoS, Quality of service, Reliability, Service oriented architecture (SOA), Telephone systems, UML, Unified Modeling Language, Web services, WSDL}, issn = {16191366}, doi = {10.1007/s10270-010-0150-3}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79955480530\&partnerID=40\&md5=1e9d768badb65996f4a07183d92b15d5}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio} } @conference {Bocciarelli20081, title = {A measurement framework for the parameterization of performance models of soa-based systems}, booktitle = {Proceedings of the IASTED International Conference on Software Engineering, SE 2008}, year = {2008}, note = {cited By 1}, pages = {1-6}, abstract = {Distributed applications are rapidly converging towards the adoption of a computing paradigm based on service-oriented architectures, according to which an application can be seen as a composite web service that is built by assembling a set of existing services, executed on internetworked server hosts. In such a context, service providers are strategically interested both to describe the performance characteristics of offered services, to better qualify their offer and gain a significant advantage in the global marketplace; and to predict the level of performance that can be offered to service consumers. To this purpose, the paper introduces a framework for the management of performance parameters, defining the architecture that enables service providers to measure and make available performance information about the offered services. On the other hand the proposed approach allows the service consumers to automatically retrieve the performance data and then use such data to apply model-driven approaches for the performance analysis of composite web services.}, keywords = {Composite web services, Computing paradigms, Distributed applications, Global marketplaces, Information services, Internetworked, LQN, Model-driven approaches, Parameters, Performance, Performance analysis, Performance characteristics, Performance datum, Performance models, Performance parameters, Service oriented architecture (SOA), Service providers, Service-oriented architectures, SOA, Soa-based systems, Software engineering, Spontaneous emission, Web services}, isbn = {9780889867154}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-62849121929\&partnerID=40\&md5=86f31e7a2aba49f609769114bee66712}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio} } @article {Bocciarelli2008228, title = {Model-driven performability analysis of composite web services}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {5119 LNCS}, year = {2008}, note = {cited By 14}, pages = {228-246}, abstract = {Web services are the building blocks of the emerging computing paradigm based on service-oriented architectures (SOAs). A web service is a self-describing, open component that supports rapid composition of distributed applications. In a SOA context, service providers are strategically interested both to predict and describe the QoS of the offered services. This paper introduces a model-driven approach to automatically predict and describe the QoS of composite web services specified by use of the Business Process Execution Language for Web Services. The paper is founded on a lightweight QoS-oriented extension of the WSDL and specifically addresses the QoS in terms of the performability attribute, which defines a combined measure of performance and reliability. The proposed approach is illustrated by use of an example application that shows how the performability analysis may lead to predictions that do not correspond to those obtained by approaches that only consider the performance attribute. {\textcopyright} 2008 Springer-Verlag Berlin Heidelberg.}, keywords = {Building blockes, Business process execution language for web services, Combined measure, Composite web services, Distributed applications, Emerging computing paradigm, Information services, Model driven approach, Model-driven, Model-driven development, Perform-ability, Performance, Performance attributes, Quality of service, Reliability, Service oriented architecture (SOA), Service provider, Systems analysis, Web services}, isbn = {3540698132; 9783540698135}, issn = {03029743}, doi = {10.1007/978-3-540-69814-2-15}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349880842\&partnerID=40\&md5=2b62ddfcd5d7d53a52f20982c298e063}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio} } @conference {D{\textquoteright}Ambrogio200778, title = {A model-driven approach to describe and predict the performance of composite services}, booktitle = {Proceedings of the 6th International Workshop on Software and Performance, WOPS{\textquoteright}07}, year = {2007}, note = {cited By 76}, pages = {78-89}, abstract = {Distributed applications are rapidly converging towards the adoption of a computing paradigm based on service-oriented architectures (SOA), according to which an application results from the composition of a set of services in execution on networked server hosts. In a SOA context, service providers are strategically interested both to describe the performance characteristics of offered services, to better qualify their offer and gain a significant advantage in the global marketplace, and to predict the level of performance that can be offered to service consumers when building composite web services that make use of services managed by various service providers. This paper introduces a model-driven approach for integrating performance prediction into service composition processes carried out by use of BPEL (Business Process Execution Language for Web Services). The proposed approach is founded on P-WSDL (Performance-enabled WSDL), a performance-oriented extension of WSDL, the language for describing the information about service capabilities and invocation mechanisms. P-WSDL is a lightweight WSDL extension for the description of performance characteristics of a web service. The approach is illustrated by use of an example application to a composite web service for travel planning. Copyright 2007 ACM.}, keywords = {Context sensitive grammars, Distributed computer systems, Model checking, Model transformation, Network architecture, Service providers, Service-oriented architectures (SOA), Software performance, User interfaces, Web services}, isbn = {1595932976; 9781595932976}, doi = {10.1145/1216993.1217008}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-34748847460\&partnerID=40\&md5=359f771f293455994ff32902ee2772e6}, author = {Andrea D{\textquoteright}Ambrogio and Bocciarelli, P.} }