Accelerating the
Industrial Internet of Things
Create New Record
    ANDOR
  • (2)
    ANDOR
  • (1)
  • (1)
    ANDOR
  • (1)
  • (1)
    ANDOR
  • (1)
  • (1)
  • (1)
  • (1)
    ANDOR
  • (1)
  • (1)
  • (1)
    ANDOR
  • (1)
    ANDOR
  • (2)
Compare
2 case studies
Case Study missing? Just let us know via Add New Case Study.
NASA/JPL's Mars Curiosity Mission
NASA/JPL's Mars Curiosity Mission
NASA/JPL's Mars Curiosity Mission
Amazon Web Services
NASA's Jet Propulsion Laboratory wanted to share the launching of Curiosity with fans by providing up-to-the-minute details of the mission. Supporting hundreds of thousands of concurrent visitors to the website would have been very difficult since NASA did not have significant web and live video streaming infrastructure.


Industries: Transportation
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringData VisualizationRemote Access & Control
Software:
Services:
Reducing Simulation Cost to Become More Competitive
Reducing Simulation Cost to Become More Competitive
Reducing Simulation Cost to Become More Competitive
Amazon Web Services
Like many aerospace engineering firms, TLG employs STAR-CCM+, a leading industry application, to perform CFD simulations. TLG uses the application to conduct aerodynamic simulations on aircraft and predict the pressure and temperature surrounding airframes. However, the company wanted to reduce the costs associated with running simulations. “We were using a cloud provider to host our simulations, but the cost per simulation was high,” says Andrew McComas, engineering manager at TLG Aerospace. “Running a typical simulation was costing us hundreds of dollars per case, and there may be hundreds of cases per project.”TLG also wanted the ability to scale its high-performance computing (HPC) applications to take on larger simulations. “The trend in our industry is toward doing more complex simulations that require more compute resources,” McComas says. “But with the internal HPC cluster we were using, we were limited as far as the maximum size problem we could run. We were limited to a small number of nodes and couldn’t allocate enough memory to run large-scale problems.”Because it wanted to reduce costs and gain scalability, TLG decided to search for a new cloud provider.


Industries: Transportation
Functions: Discrete Manufacturing