7. Remote computing service

This topic describes how to use the remote computing service of MindOpt to solve programming problems.

With the remote computing service of MindOpt, you can submit optimization problems to a server or server cluster from any client for centralized problem solving by using the performance benefits of the server or server cluster.

The subsection 1 to 3 describe the architecture, deployment, and O&M of the remote computing service. The subsection 4 to 9 describe how to call the remote computing service in programs and view the results.

• 7.1. C/S architecture
• 7.2. Deployment and installation
  • 7.2.1. Download and install the client SDK
  • 7.2.2. Deploy the compute server
  • 7.2.3. Web verification
• 7.3. Operation and Maintenance
  • 7.3.1. Restart the compute server
  • 7.3.2. Clear disk data
• 7.4. C/S API calls
• 7.5. Example: C program
  • 7.5.1. Upload a model
  • 7.5.2. Obtain the result
• 7.6. Example: C++ program
  • 7.6.1. Upload a model
  • 7.6.2. Obtain the result
• 7.7. Example: Python program
  • 7.7.1. Upload a model
  • 7.7.2. Obtain the result
• 7.8. Modeling in a client program
• 7.9. Operations on the web page of the server
  • 7.9.1. Access and logon
  • 7.9.2. Workbench
  • 7.9.3. Job list
  • 7.9.4. Downloads list