Service-Oriented Simulation Framework: An Overview and Unifying Methodology
Abstract
The prevailing net-centric environment demands and enables modeling and simulation to combine efforts from numerous disciplines. Software techniques and methodology, in particular service-oriented architecture, provide such an opportunity. Service-oriented simulation has been an emerging paradigm following on from object- and process-oriented methods. However, the ad-hoc frameworks proposed so far generally focus on specific domains or systems and each has its pros and cons. They are capable of addressing different issues within service-oriented simulation from different viewpoints. It is increasingly important to describe and evaluate the progress of numerous frameworks. In this paper, we propose a novel three-dimensional reference model for a service-oriented simulation paradigm. The model can be used as a guideline or an analytic means to find the potential and possible future directions of the current simulation frameworks. In particular, the model inspects the crossover between the disciplines of modeling and simulation, service-orientation, and software/systems engineering. Based on the model, we present a comprehensive survey on several classical service-oriented simulation frameworks, including formalism-based, model-driven, interoperability protocol based, eXtensible Modeling and Simulation Framework (XMSF), and Open Grid Services Architecture (OGSA) based frameworks etc. The comparison of these frameworks is also performed. Finally the significance both in academia and practice are presented and future directions are pointed out.
Keywords
Cite
@article{arxiv.1012.4712,
title = {Service-Oriented Simulation Framework: An Overview and Unifying Methodology},
author = {Wenguang Wang and Weiping Wang and Yifan Zhu and Qun Li},
journal= {arXiv preprint arXiv:1012.4712},
year = {2010}
}
Comments
23 pages, 4 figures, 13 tables, SIMULATION: Transactions of the Society for Modeling and Simulation International. first published on December 21, 2010. DOI: 10.1177/0037549710391838. http://sim.sagepub.com/content/early/2010/12/18/0037549710391838.abstract