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Strategies And Technologies for Cloud Computing Interoperability (SATCCI)
As I alluded to in an earlier post, a major cloud computing interoperability event will be held in conjunction with the Object Management Group (OMG) March Technical Meeting on March…
Government Cloud Computing E-zine Launched
Today marks the launch of a new electronic magazine dedicated to addressing cloud computing within the government space. Over the last year during my personal exploration of this marketspace, I’ve…
NCOIC Plenary: Cloud Computing Working Group
Last week, I had the pleasure of participating in the NCOIC Cloud Computing Working Group. Led by Cisco Systems Distinguished Engineer, Mr. Krishna Sankar of Cisco Systems, the meeting purpose…
2nd Government Cloud Computing Survey – A Sneak Peek
This month, we’re in the middle of collecting data for our 2nd Government Cloud Computing Survey. to peek your curiosity (an to entice your participation) here is a sneak peek…
Government could save billions with cloud computing
In a recent study, published by MeriTalk, Red Hat and DLT Solutions, the Federal government could save $6.6 billion by using cloud computing or software-as-a-service. “Looking at 30 federal agencies,…
Cloud Games at FOSE 2009
ONLINE REGISTRATION NOW AVAILABLE Booz Allen Hamilton is launching its Cloud Computing Wargame (CCW)T at FOSE March 10-12, 2009 in Washington, DC. The CCW is designed to simulate the major…
IBM and Amazon
According to the Amazon Web Services (AWS) site, you can now use DB2, Informix, WebSphere sMash, WebSphere Portal Server or Lotus Web Content Management on Amazon’s EC2 cloud. “This relationship…
A Berkeley View of Cloud Computing
Yesterday, Berkeley released their View of Cloud Computing with a view that cloud computing provides an elasticity of resources, without paying a premium for large scale, that is unprecedented in…
Cloud Economic Models
One of the most important drivers of cloud computing in the Federal space is its perceived “compelling” economic value. Some initial insight on the economic argument is now available on…
Cloud Computing In Government: From Google Apps To Nuclear Warfare
Today, I want to thank John Foley of InformationWeek for an enjoyable interview and his excellent post, Cloud Computing In Government: From Google Apps To Nuclear Warfare. Our discussion covered…
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)
Cloud Computing
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Cybersecurity
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