On demand computing (ODC)

From Blindside

1 What is it
2 Impact & Maturity assessment
3 Information Assurance issues
4 Timescale
5 Examples
6 Comments (attributed)
7 Organisations
8 Documents & research papers
9 Experts (academic, practitioner)

[edit] What is it

On-demand (OD) computing is an enterprise model in which computing resources such as CPU cycles, bandwidth availability, storage and applications, maintained within the user's enterprise, or made available by a service provider, are made available to the user as needed. On-demand computing was developed to efficiently support computing demands within enterprises where the demand may tend to fluctuate from time to time.

The term on-demand computing itself is broad and includes other popular concepts such as grid computing, utility computing, autonomic computing, and adaptive management

[edit] Impact & Maturity assessment

[See definition of levels]

We assign this an Impact Level of 2, as proper business rules would eliminate risk exposure to dependency on outside vendors for computing availability. We assign this a Maturity Level of 1, as there is a paucity of credible providers for this. When and if this becomes a real factor in IT decisions, the information assurance risks could be reduced by the goverment being a provider of these services.

[edit] Information Assurance issues

Damien Bean, Vice President, Corporate Systems at Hilton Hotels writes onTechWorld as to Why he would stay clear of ODC

An outsourcing-law.com article on the Legal Risks of On Demand Computing

Stephen Morris, CTO of Omey Communications in Ireland, explores the On-Demand Computing model on www.informit.com

[edit] Timescale

On-demand computing provides a means for a new type of business transformation in which IT will be led by business policies. This is not a new concept, but it would considerably change both the business and IT landscapes. So, the highest level of impact will be felt in the medium term, between 5 and 25 years from now.