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SOA is Dead; Long Live Services
Blogger: Anne Thomas ManesObituary: SOA“SOA met its demise on January 1, 2009, when it was wiped out by the catastrophic impact of the economic recession. SOA is survived by its…
2009 – The Year of Cloud Computing!
Yes, everyone is making this bold statement. In his article, David Fredh laid out the reasons quite well: The technological hype has started already but the commercial breakthrough will come…
Salesforce.com and Google expand their alliance
In a Jan. 3rd announcement, Salesforce.com announced an expansion of its global strategic alliance with Google. In announcing the availability of Force.com for Google App Engine™, the team has connected…
December NCOIC Plenary Presentations
Presentations from the NCOIC Cloud Computing sessions held earlier this month have been posted on-line in the Federal Cloud Computing wiki. The event featured speakers from IBM, Cisco, Microsoft, HP,…
Booz|Allen|Hamilton Launches “Government Cloud Computing Community”
As a follow-up to a Washington, DC Executive Summit event, BoozAllenHamilton recently launched an on-line government cloud computing collaboration environment. In an effort to expand the current dialog around government…
Is Google Losing Document?
John Dvorak posted this question on his blog Saturday and as of Sunday evening had 52 responses! This is not a good thing for building confidence in cloud computing. Or…
Cryptographic Data Splitting? What’s that?
Cryptographic data splitting is a new approach to securing information. This process encrypts data and then uses random or deterministic distribution to multiple shares. this distribution can also include fault…
NPR “All Things Considered” considers Government Cloud Computing
My personal thanks to Andrea Seabrook, Petra Mayer and National Public Radio for their report “Will ‘Cloud Computing’ Work In White House?” on today’s “All Things Considered”. When I started this blog…
HP Brings EDS Division into it’s cloud plans
The Street reported earlier this week that Hewlett Packard’s EDS division has won a $111 million contract with the Department of Defense (DoD) that could eventually support the U.S. military’s…
A few days ago I received a call from a small business owner asking if I would meet him for coffee. He wanted to run some ideas past me on how he could enhance his current business with cloud computing. This is the sort of request that I can never turn down so we quickly made an appointment for the next day. After exchanging pleasantries and settling down with our lattes, he started to give me an overview of his current business.
- True Cloud Service Providers build and offer scalable, redundant and elastic resources to the marketplace. In other words, you build it before they come;
- Cloud services aren’t built to specification based on a RFP. A CSP provides standardized offerings with standardized SLA built on an infrastructure the CSP designs;
- The cloud computing economic model is built on over-subscription of the CSP’s available services across a large marketplace, not on individual long-term contracts.
- On-demand self-service: A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider.
- Broad network access: Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops and workstations).
- Resource pooling: The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state or datacenter). Examples of resources include storage, processing, memory and network bandwidth.
- Rapid elasticity: Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be appropriated in any quantity at any time.
- Measured service: Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth and active user accounts). Resource usage can be monitored, controlled and reported, providing transparency for the provider and consumer.
(This post was written as part of the Dell Insight Partners program, which provides news and analysis about the evolving world of tech. To learn more about tech news and analysis visit Tech Page One. Dell sponsored this article, but the opinions are our own and don’t necessarily represent Dell’s positions or strategies.)
( Thank you. If you enjoyed this article, get free updates by email or RSS – © Copyright Kevin L. Jackson 2012)
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