Research and application on ontology-based layered cloud simulation service description framework

  • Authors:
  • Tan Li;Xudong Chai;Baocun Hou;Bohu Li

  • Affiliations:
  • Beijing Simulation Center, Beijing, China;Beijing Simulation Center, Beijing, China;Beijing Simulation Center, Beijing, China;Beijing Simulation Center, Beijing, China

  • Venue:
  • Proceedings of the 2013 ACM SIGSIM conference on Principles of advanced discrete simulation
  • Year:
  • 2013

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Abstract

Cloud simulation system improves the ability of current network-based M&S in on-demand simulation and massive-user service. The share of multi-granularity resources and dynamic establishment of simulation services in Cloud Simulation raise new challenges to the Simulation Service Description Framework (SSDF). An ontology-based layered SSDF (OLSSDF) was proposed towards those challenges in cloud simulation, which includes the layered architecture of cloud simulation service and the ontology semantics of each layer in the framework which were defined and formalized in OWL-S. The OLSSDF for cloud simulation was applied and in the description of simulation services in certain cloud simulation system prototype of aero plane. The primary research and application show that the OLSSDF oriented to cloud simulation, which describes cloud simulation services in both attribute-semantic and model-semantic, adapts well to the various multi-granularity simulation resources and facilitates the intelligent discovery and automatic combination of simulation services in the cloud simulation mode.