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= 4.2)  I&M Use Cases for Experiments, and Support for Experimenters =

==  4.2.1)  Goals ==

  Provide a concise but complete definition of I&M Use Cases for Experiments.  Include the support that should be available to experimenters, i.e., on-line instructions, examples and help desks.  [[BR]]

== 4.2.2)  Team ==
 
  CO-LEAD  Jim Griffioen (U Kentucky)  [[BR]]
  CO-LEAD  Mike Zink (UMass Amherst)  [[BR]]
  Max Ott (NICTA)  [[BR]]
  Prasad Calyam (Ohio Super Center)   [[BR]]
  Harry Mussman  (GPO) [[BR]]

== 4.2.3)  Meetings ==

== 4.2.4)  Vision ==

  Towards Max Ott's vision for experiment support  [[BR]]

[http://groups.geni.net/geni/attachment/wiki/GEC12InstMeasWorkingSession/Will%20RSpec%20help%20us%20to%20do%20better%20science%20-%20GEC11%20-%20July%202011.pdf  slides] [[BR]]

== 4.3.5)  Basic experiment use case ==

 Basic experiment use case:  [[BR]]

  1)  Setup the experiment in a slice using Experiment Control Tools, via User Portal
  1b)  Include instrumentation and measurement services in the slice, and utilizing   [[BR]] 
 
  1b)  Gather resources into slice for experiment, include all resources (e.g., hosts) needed for measurements
  1c)  Load software for experiment, include all software needed for measurements
  1d)  Configure software for experiment, include all software needed for measurements
  1e)  As necessary, use persistent GENI services
 
  1)  Setup and run experiment using Experiment Control Tools and Experiment Orchestration Service, via User Portal  [[BR]]  
  2)  Setup and run measurements using services within slice, and persistent services.  Option:  get measurement data from persistent MP.  [[BR]]
  3)  Gather MD, and observe during experiment; formulate MDOD.  [[BR]]
  4)  Archive MD with MDOD.  [[BR]]
  5)  Share archived MD with others, per policy included within MDOD.  [[BR]]
  6)  Pull MD out of archive, to analyze and/or visualize.  [[BR]]
 
c)  What support must be provided for Experimenters?  how?  [[BR]] 

d)  Extended experiment use cases:  [[BR]]
  1)  WiMAX site measurement
  2)  LEARN/BEN layer 0,1 or 2 real-time measurements
  3)  Sensor network (radars, power monitors)
  4)  Measure DiCloud workflow