Cloud // Infrastructure as a Service
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4/30/2012
12:20 PM
Doug Henschen
Doug Henschen
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Amazon's 7 Cloud Promises: Hype Vs. Reality

Amazon says cloud computing is an indispensable enabler of seven important computing transformations. We hype-test the promises with a few reality checks.
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No argument here, our only quibble being that cloud makes the most sense for spiky demand; if you have a constant baseline workload, there are advantages in owning rather than renting. That said, research tends to be spiky, so it's no surprise that cloud is compelling even for large pharmaceutical giants that have ongoing supercomputing needs. Cycle Computing CEO Jason Stowe said his firm was able to harness more than 50,000 cores of AWS capacity within a matter of hours, and he figures that system packed the equivalent power of $20 million to $25 million worth of supercomputing infrastructure. At Amazon's cloud rates, the cost was just $4,828.85 per hour.

"This means any researcher with a National Science Foundation grant or any person at an academic institution or anyone at a large corporation can now do science that's impossible to do on an internal system in so short a timeframe," Stowe said. We say, bravo!

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Leo Regulus
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Leo Regulus,
User Rank: Apprentice
5/16/2012 | 4:14:45 PM
re: Amazon's 7 Cloud Promises: Hype Vs. Reality
Please, I'm still waiting for the one-click version.
Leo Regulus
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Leo Regulus,
User Rank: Apprentice
5/1/2012 | 6:50:58 PM
re: Amazon's 7 Cloud Promises: Hype Vs. Reality
Inappropriate format.
D. Henschen
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D. Henschen,
User Rank: Author
5/1/2012 | 3:16:24 PM
re: Amazon's 7 Cloud Promises: Hype Vs. Reality
I asked my colleague, Art Wittman, for his thoughts on this gallery, and he offered the following comments on supercomputing: "Most of the SCs in the world are time shared in some way. The five regional centers in the U.S. all have time allocation committees for academia, but the national labs seem convinced they should keep buying their own. One problem they haveGă˘and IGăÍd think the big data crowd would have the same problemGă˘is getting huge data sets in place so that the processing can happen on the right hardware at the right time. You canGăÍt just leave petabytes around in case you need to operate on the dataGă˘imagine a few dozen or a few hundred customers doing that. YouGăÍd have enormous local storage needs even in an Amazon-like distributed environment. Pretty much everything Amazon says is Găúeasy in our environmentGăą isnGăÍt, at least not at scale."

More good insight from Wittman. --Doug Henschen
Multicloud Infrastructure & Application Management
Multicloud Infrastructure & Application Management
Enterprise cloud adoption has evolved to the point where hybrid public/private cloud designs and use of multiple providers is common. Who among us has mastered provisioning resources in different clouds; allocating the right resources to each application; assigning applications to the "best" cloud provider based on performance or reliability requirements.
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