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.
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.
D'Ambrogio, A., Bocciarelli, P., Mastromattei, A. (2016). A PAAS-Based framework for automated performance analysis of service-oriented systems. In Proceedings of the 2016 Winter Simulation Conference (WSC 2016) (pp.931-942). IEEE [10.1109/WSC.2016.7822154].
A PAAS-Based framework for automated performance analysis of service-oriented systems
D'AMBROGIO, ANDREA;
2016-01-01
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.| File | Dimensione | Formato | |
|---|---|---|---|
|
WSC16_paper.pdf
solo utenti autorizzati
Tipologia:
Versione Editoriale (PDF)
Licenza:
Copyright dell'editore
Dimensione
1.48 MB
Formato
Adobe PDF
|
1.48 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
