This is true in a "water is wet" kind of way. The point is that a great many problems that can fit neatly into a single machine are being turned into I/O proble

This is true in a "water is wet" kind of way. The point is that a great many problems that can fit neatly into a single machine are being turned into I/O problems by being distributed onto clusters. There's an incredible number of gigabyte and even terabyte scale problems that are consuming racks of blades when a little thinking and understanding of the problem being solved can be done pretty nicely on far fewer resources. What's really happening is that to many people they think it's "easier" to simply rack more equipment into the cluster and end up shifting the complexity into cluster administration rather than programmer time.