Authors:
Tiago Azevedo
;
Rosaldo J. F. Rossetti
and
Jorge G. Barbosa
Affiliation:
Faculty of Engineering and University of Porto, Portugal
Keyword(s):
Agent-directed Simulation, Agent-supported Simulation, HLA, High Level Architecture, Cloud, SimSaaS,
Simulation Software-as-a-service.
Related
Ontology
Subjects/Areas/Topics:
Agent Based Modeling and Simulation
;
Artificial Intelligence
;
Biomedical Engineering
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Data Engineering
;
Discrete-Event Simulation
;
Domain-Specific Tools
;
e-Business
;
Enterprise Information Systems
;
Formal Methods
;
Health Information Systems
;
Integration/Interoperability
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Laboratory Simulation Software
;
Ontologies and the Semantic Web
;
Sensor Networks
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Software Agents and Internet Computing
;
Software and Architectures
;
Symbolic Systems
Abstract:
Modelling & Simulation (M&S) is broadly used in real scenarios where making physical modifications could
be highly expensive. With the so-called Simulation Software-as-a-Service (SimSaaS), researchers could take
advantage of the huge amount of resource that cloud computing provides. Even so, studying and analysing a
problem through simulation may need several simulation tools, hence raising interoperability issues. Having
this in mind, IEEE developed a standard for interoperability among simulators named High Level Architecture
(HLA). Moreover, the multi-agent system approach has become recognised as a convenient approach for
modelling and simulating complex systems. Despite all the recent works and acceptance of these technologies,
there is still a great lack of work regarding synergies among them. This paper shows by means of a literature
review this lack of work or, in other words, the sparse Cloud SimSaaS. The literature review and the resulting
taxonomy are the main contribution
s of this paper, as they provide a research agenda illustrating future research
opportunities and trends.
(More)