The short answer is 'Not reliably' no, since the use of a disk is going to change dramatically depending on the context, but Edu Morales in from ITRS US office has played a little with the idea and we have the following  note that we must heavily caveat that this is not a formal solution, it's just some experimentation. 
Having played with rule periods over the last few months I tried to see if I could do something interesting with those. My first attempt was to use a history period and to get the min and max/current of this and calculate rate. While this seemed to work at first I quickly realized this would only work if all of this was ever increasing. I then thought that I could use the first value of a history period and the current value and use that for my rate. Unfortunately the first function only works with Xpaths and not history periods. Had a quick chat with Engineering and we came up with the following. Use two history periods and get the average of each corresponding history period. This should create a reasonable approximation of the growth as long as it is the dataset is reasonably linear. The formula is then: rate = ( avg(X)  avg(2X) ) / (X/2) It looks something like: set $(first) average(value for "Rolling10Minute") Example of semilinear data and rate function using Microsoft Excel compared to Geneos Rate.
Note: History periods requires that gateways retain these points in memory so I would recommend not going overboard with this. Smaller history periods have less data. 

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