Open XDMoD (XD Metrics on Demand) and DrAFTS (Durability Agreements from Time Series) will be used for Aristotle metrics collection, analysis, and graphical display. These tools will enable the users and project management team to quickly display a wide variety of job accounting metrics over any desired time frame, as well as trend analysis results which will be used to predict when it is appropriate to burst. All three sites will run Open XDMoD instances for internal use; the portal will present a single federated Open XDMoD instance to the outside world.
Work is currently underway by UB and UCSB to make cloud metrics available to the federation (see Federated XDMoD to monitor affiliated computing resources). DrAFTS will be used to predict prices levels in the AWS spot market. Now in revision after a major pricing change at AWS, a user of the cloud federation will be able to determine when it is essential to burst to the public cloud (as opposed to waiting for resources to become available) and what the best price-performance product will be when bursting is warranted. See Aristotle AWS SpotPrice Visualizer, beta version 1.0.
Earlier testing of DrAFTS on XSEDE resources by the Aristotle team also demonstrated that DrAFTS is a useful tool in predicting batch HPC job wait times.