面向服务的仿真框架：综述与统一方法
Service-Oriented Simulation Framework: An Overview and Unifying Methodology
摘要：
当前以网络为中心的环境要求并使建模和仿真能够结合众多学科的努力。软件技术和方法，特别是面向服务的体系结构，提供了这样的机会。面向服务的仿真是继面向对象和面向过程的方法之后出现的一种新的范例。然而，ad-hoc框架提出到目前为止，一般集中在特定的领域或系统，每一个都有其优点和缺点。他们能够解决不同的问题，面向服务的仿真从不同的角度。描述和评价众多框架的进展情况越来越重要。在本文中，我们提出了一种新的三维参考模型的面向服务的仿真范例。该模型可以作为一个指南或分析手段，以找到潜在的和可能的未来方向，目前的模拟框架。特别是，该模型检查建模和仿真，面向服务，软件/系统工程的学科之间的交叉。在此基础上，对基于形式主义、模型驱动、基于互操作协议、可扩展建模与仿真框架（XMSF）和基于开放网格服务体系结构（OGSA）等几种典型的面向服务的仿真框架进行了综述，并对它们进行了比较。最后指出了本文研究的理论意义和实践意义，并指出了今后的研究方向.
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
