Monday, December 15, 2008

[ Cloud Computing ] Re: Big Players cornered the cloud?

One of the keys to externalizing excess computing capacity is to know what the internal needs are for growth. It would seem counter productive for a company to sell excess capacity then not have enough for their own projects. Additional work is required for a standard (ITIL might be a good place to start) for a common charge back license (do we charge for I/O, standing storage, log files, memory usage, what frequency is the sample taken, CPU usage, CPU's run on or CPU consumed?). These are all questions that will need to be standardized for a company to know if their services are going to receive the SLA's they sign up for and if the company providing the service will be charging on a known resource rate.
 
The question keeps coming back is the cloud only for virtualized workloads?
 
Bruce
-------------- Original message from "Dan Kearns" <dan.kearns@gmail.com>: --------------

On Mon, Dec 15, 2008 at 5:05 PM, Peter Shenkin <shenkin@gmail.com> wrote:
On Mon, Dec 15, 2008 at 12:15 PM, Nik Simpson <nik@alaweb.com> wrote:
> Vince Marco wrote:
>> However, on the flip side of this you have an opportunity for existing
>> global companies to leverage their data centers by becoming "cloud"
>> providers.
>
> That's pretty much what Amazon did isn't it?

Something that should give us pause is that purchasing somebody's
excess capacity at an attractive price is building a business on a
waste product. But what happens when enough demand builds for the
waste product that it's not a waste product anymore?

Has it not been definitively established that EC2 is not built on Amazon's excess capacity? Is that some sort of Amazon-fighting FUD?

I recall, but am too lazy to cite examples of, various Amazon folks who have been quoted as saying that the technology behind ec2 was something they needed to build anyway, the logical result of trying to streamline capacity provisioning for their internal operations, at which point they realized it was (or should be) the type of commodity offering they saw as their core competency and built a separate business based on that?

The more interesting question is whether time-sensitive and discretionary compute tasks exist in roughly equal portions (or whether time-sensitive tasks will trend towards following the sun in equal proportion) such that demand-based pricing won't make a big difference if/when it arrives.

I'd love to see some of the iaas providers publish their time-of-day vs power consumption (or compute cycles, or whatever) data.
 
-d
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