Cloud simulation platform

  • Authors:
  • Bo Hu Li;Xudong Chai;Baocun Hou;Wenhai Zhu;Yabin Zhang;Zhen Tang;Changfeng Song;Suchuan Mu

  • Affiliations:
  • Beijing University of Aeronautics and Astronautics, Beijing, China;Beijing Simulation Center, Beijing, China;Beijing Simulation Center, Beijing, China;Beijing Simulation Center, Beijing, China;Beijing University of Aeronautics and Astronautics, Beijing, China;Beijing University of Aeronautics and Astronautics, Beijing, China;Beijing University of Aeronautics and Astronautics, Beijing, China;Beijing Simulation Center, Beijing, China

  • Venue:
  • GCMS '09 Proceedings of the 2009 Grand Challenges in Modeling & Simulation Conference
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Firstly, this paper concisely introduces the research background of a new kind of networked modeling and simulation (M&S) platform based on the concept of Cloud Computing' namely Cloud Simulation Platform. Then its connotation and application mode are presented. Futhermore, the architecture of Cloud Simulation Platform prototype, some solved key techniques and some typical applications developed by authors are introduced. It is shown from the primary study and practice that the Cloud Simulation Platform has the following new features:(1) It can strengthen the capabilities of current networked M&S platform on dynamical resources sharing on-demand, supporting multi-user, collaboration, fault tolerant and security mechanism' thus a new modeling and simulation mode is established. (2)There are some new M&S methods and techniques implemented in the Cloud Simulation Platform prototype including system architecture, pervasive portal technique, problem-solving environment technique, HLA/RTI technique based on Web, resource dynamical management middleware technique based on virtualization technique, simulation model resource discovery technique based on semantics, simulation resource scheduling technique, simulation model resources automatic composition technique, system fault tolerant technique and simulation resource virtualization technique etc.. Finally, the conclusion and some further works are given.