As a "Rule of Thumb" (and thumbs come in various shapes and sizes ... yours 
may vary):

1 PLPA dataset
1 COMMON dataset
4 (or more) LOCAL datasets

LOCAL datasets should peak at no more that 30 (or so) percent utilization, 
else the block paging algorithm starts to have problems (the probability of 
finding a block with sufficient contiguous free slots drops below .5)

With DYNAMIC (only) PAVs, you may be able to get away with 2 LOCAL page 
datasets, since you will get 2 addresses assigned to each dataset

Best to have the PLPA and COMMON datasets on separate volumes, 
sufficiently sized.  Next best (for a no-PAV environment) is a 1 cylinder PLPA 
and a COMMON dataset sized somewhere around 2GB (2000 cylinders is 
probably OK).  With PAVs, we need someone else to chime in here, since you 
probably don't want to assign 2 PAV addresses to a 1 cylinder PLPA dataset!

Note that HYPER-PAVs don't play in the paging subsystem yet.  Still awaiting 
word on this issue from IBM (Jim Mulder, maybe?).

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