Affiliation:
1. Department of Enterprise Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
Abstract
Modeling and simulation (M&S) techniques are effectively used in many application domains to support various operational tasks ranging from system analyses to innovative training activities. Any (M&S) effort might strongly benefit from the adoption of service orientation and cloud computing to ease the development and provision of M&S applications. Such an emerging paradigm is commonly referred to as M&S-as-a-Service (MSaaS). The need for orchestrating M&S services provided by different partners in a heterogeneous cloud infrastructure introduces new challenges. In this respect, the adoption of an effective architectural approach might significantly help the design and development of MSaaS infrastructure implementations that cooperate in a federated environment. In this context, this work introduces a MSaaS reference architecture (RA) that aims to investigate innovative approaches to ease the building of inter-cloud MSaaS applications. Moreover, this work presents ArTIC-MS, a conceptual architecture that refines the proposed RA for introducing the TOSCA (topology and orchestration specification for cloud applications) standard. ArTIC-MS’s main objective is to enable effective portability and interoperability among M&S services provided by different partners in heterogeneous federations of cloud-based MSaaS infrastructure. To show the validity of the proposed architectural approach, the results of concrete experimentation are provided.
Subject
Computer Networks and Communications
Reference41 articles.
1. Gianni, D., D’Ambrogio, A., and Tolk, A. (2014). Modeling and Simulation-Based Systems Engineering Handbook, CRC Press.
2. Falcone, A., Garro, A., D’Ambrogio, A., and Giglio, A. (2017, January 11–13). Engineering systems by combining BPMN and HLA-based distributed simulation. Proceedings of the 2017 IEEE International Systems Engineering Symposium (ISSE), Vienna, Austria.
3. Sokolowski, J., and Banks, C. (2009). Principles of Modeling and Simulation: A Multidisciplinary Approach, Wiley.
4. Applications of model-driven engineering in cyber-physical systems: A systematic mapping study;Mohamed;J. Comput. Lang.,2020
5. Applying model-driven engineering to high-performance computing: Experience report, lessons learned, and remaining challenges;Lelandais;J. Comput. Lang.,2019