My previous post was a special case comparison of Amazon's reserved IaaS versus a privately owned data center where server utilization is fixed at 100%. This is a simple comparison super easy to comprehend but also unrealistic because no business has a steady demand all the time. While researching a more generic model I came across a working paper on the economics of cloud under pretty much all conceivable type of demand situations ranging from a linear growth/decline, sawtooth, exponential and even a stochastic "Random Walk".
The paper at first glance appeared so mathematically rigorous and intense with its use of integral calculus and Monte Carlo simulations (what Joe gracefully calls "simple maths and calculus" in the video below), that I felt compelled to go back and research the author. The author is Joe Weinman who currently leads the communications, media, and entertainment segment for Hewlett-Packard's Worldwide Industry Solutions having moved recently from being the "cloud face" of AT&T's business development initiatives. He is also a prolific inventor (14 patents), frequent global keynote speaker and also author of the pithy "10 laws of cloud computing" on his blog cloudonomics .
Here is a short interview from his AT&T days where he explains why the cloud is not a panacea but a niche solution and his view that Hybrid clouds are likely to be the end state as the market matures.
Quite interesting from a sourcing standpoint are the insights derived from his working paper, some of which co-incide with my special case scenario from my previous post. Hit the jump for these insights: