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Modeling and simulation as a service architecture for deploying resources in the Cloud
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作者 Sixuan Wang Gabriel Wainer 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2016年第1期142-179,共38页
In recent years,Cloud Computing has become popular to facilitate the use of Modeling and Simulation(M&S)resources.Nevertheless,there are still various issues to solve,including the structure constrain of chosen we... In recent years,Cloud Computing has become popular to facilitate the use of Modeling and Simulation(M&S)resources.Nevertheless,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 experiments.We show a new architecture based on Cloud Computing and new modeling methods to deal with these issues.This layered architecture,called Cloud Architecture for Modeling and Simulation as a Service(CAMSaaS),simplifies the deployment of M&S resources as services in the Cloud.CAMSaaS supports hierarchical resource services,experimental frameworks,scalable infrastructure and makes everything as a service.We 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 resources.We also use the experimental framework concept to simplify the management of experiment environments.We present a case study for crowd evacuation application using the architecture. 展开更多
关键词 modeling and simulation as a service Cloud-based simulation simulation Middleware RESTful Web services Cloud services
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