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Enhancements to the GENI Instrumentation and Measurement Systems (GIMS) Architecture

muncel avatar
muncel
14 diapositives · 281 Views · Sep 09, 2014

The GIMS (GENI Instrumentation and Measurement Systems) architecture has been updated to enhance high-speed packet capture capabilities integrated with ProtoGENI. Our system features a flexible backend architecture that supports various types of instrumentation and includes a MySQL database and a web-based GUI. This update allows for efficient control of experiments, substantial logging, and improved exception handling. We have implemented new functionalities for managing experiments and monitoring capture statistics effectively, ensuring minimal disruption and better compliance with evolving GENI standards.

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  1. GIMS Update - GEC 10 CharlesThomas Paul Barford, Joel Sommers, Mark Crovella, Mike Blodgett UniversityofWisconsin - Madison cthomas@wisc.edu

  2. What is GIMS? • GENI Instrumentation and Measurement Systems • High-speed packet capture system integrated with ProtoGENI. • Infrastructure could be modified to support other types of instrumentation.

  3. GIMS Architecture • ProtoGENI Test Scripts • Allow us to control the capture system. • GIMS Backend • Coordinates communication. • MySQL Database • Capture • Daemon & hardware • Web-based GUI • Project documents, links, experiment results and monitoring

  4. Leveraging the RCM • Integration with ProtoGENI via modifications to the RCM. • Calls to our backend system. • Extensive logging. • Tried to keep disruptions to a minimum. • GIMS system results passed through to ProtoGENI command-line via extension of ProtoGENI response objects. • Modified Rspec to pass params we needed.

  5. Current Functionality • CreateSliver • Create new experiment • Load config into device • Start capture • StopSliver • Pause capture • StartSliver • Restart capture after pause • DeleteSlice • Shutdown capture activities and cleanup. • SliverStatus • Return information about experiment

  6. Capture-side modifications since GEC9 • Introduced statistics gathering capability for user display and experiment monitoring. • Introduced new XML/RPC call for explicitly testing experiment storage. • Added significant exception handling capabilities to storage controller daemon. • Test suite significantly expanded for regression testing on all back-end storage components. • Expanded capture metadata to match evolving GENI standards.

  7. Infrastructure • Have deployed two sensors, which can be manually switched to monitor an experiment on the Schooner testbed (Madison), or either of the two external links (Kansas City and Chicago).

  8. We will be giving a demo tonight!