Job execution timing and computational resources: any tool, any public Galaxy server

Welcome, @h_1994 !

There isn’t a way to predict with confidence how long any particular job (any tool) will run since this depends on several factors:

For the queued phase (grey dataset):

  • how busy the server is
  • how busy the connected clusters that run that tool are
  • how many other jobs you have queued

For the executing phase (peach/yellow dataset):

  • cluster runtime resources
  • characteristics of the inputs
  • parameters chosen
  • how the algorithm run-time scales with different inputs/params

The public computational resources are significant at any of the UseGalaxy servers, so you are working at a good server. Using workflows, and making use of the notification systems is one way to track progress overall.

Related:

Do you want to add anything else @igor ?