Modeling and simulation as a service architecture for deploying resources in the Cloud

作     者：Sixuan Wang Gabriel Wainer 

作者机构：Department of Systems and Computer Engineering Carleton University Centre for Visualization and Simulation(V-Sim)OttawaCanadaON K1S-5B6 

出 版 物：《International Journal of Modeling, Simulation, and Scientific Computing》 (建模、仿真和科学计算国际期刊（英文）)

年 卷 期：2016年第7卷第1期

页      面：142-179页

核心收录：

学科分类：08[工学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This research has been partially funded by NSERC 

主　　题：Modeling and Simulation as a Service Cloud-based Simulation Simulation Middleware RESTful Web Services Cloud Services 

摘      要：In recent years,Cloud Computing has become popular to facilitate the use of Modeling and Simulation(M&S)***,there are still various issues to solve,including the structure constrain of chosen web service frameworks,the sharing of varied resources in the Cloud,and the difficulties in reproducing *** show a new architecture based on Cloud Computing and new modeling methods to deal with these *** layered architecture,called Cloud Architecture for Modeling and Simulation as a Service(CAMSaaS),simplifies the deployment of M&S resources as services in the *** supports hierarchical resource services,experimental frameworks,scalable infrastructure and makes everything as a *** deploy varied M&S resources as services in the Cloud,and build a Modeling and Simulation as a Service(MSaaS)middleware called CloudRISE to manage a variety of M&S *** also use the experimental framework concept to simplify the management of experiment *** present a case study for crowd evacuation application using the architecture.