Hassan RajaeiFatimah A. AlotaibiSaba Jamalian
Advances in cloud services gave Cloud-Based Simulation (CBS) considerable attentions to obtain reliable, available, and scalable simulation models capable of executing on the Cloud. However, major challenges such as synchronization, virtualization, and multi-tenancy overhead overshadows use of CBS especially for distributed simulation. These challenges affect performance of parallel executions and thus limit the offered benefits. To overcome these issues, we propose a new platform Distributed Simulation for Could Computing (DSC) developed, to facilitate implementation and parallel execution of simulations models in the cloud. This platform has several layers including a middleware and an HPC platform called HPCaaS (HPC as a Service). The middleware acts as a simulation engine facilitating users to develop simulation models whereas HPCaaS makes them executable on a cloud platform. Along with their associate API, the proposed architecture enables simulation users to seamlessly interact with a cloud environment and receive benefits of the cloud for their applications.
Hassan RajaeiFatimah A. AlotaibiSaba Jamalian
Tadashi YamazakiHidetoshi IkenoY. OkumuraShunji SatohYoshimi KamiyamaYutaka HirataKeiichiro InagakiAkito IshiharaTakayuki KannonShiro Usui
Alberto NúñezJosé Luis Vázquez‐PolettiAgustín C. CamineroJesús CarreteroIgnacio M. Llórente
Ronghua LiuJiahua WeiYan RenQi LiuGuangqian WangSongdong ShaoShuang Tang