Modeling and Simulation (M&S) is used for systems analysis and decision making in existing or new
systems. Modeling large and complex organizations produces large-scale simulations that are difficult or
impossible to run on a single computer. Such experiment execution requires high computation.
Distributed Simulation (DS) allows modeling of large systems as smaller submodels that execute on
different nodes of a computer network and interoperate with each other in order to compose larger
systems. Furthermore, cloud computing offers on-demand access to multiple compute resources.
Consequently, being able to run DS on cloud resources allows for more experimentation with large-scale
simulations in a cost-effective way. However, deploying DS and in fact Cloud-based DS presents
significant technical challenges. This paper proposes a framework for deploying DS on the cloud in a
transparent manner using the CloudSME Simulation Platform based on WS-PGRADE workflows. A
healthcare case study is used to demonstrate our approach.Special thanks to Dr. Tamas Kiss and Mr Hannu Visti, Centre for Parallel Computing, University of
Westminster for supporting in this study
