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Operation Golden Phoenix
This week, Dataline is participating in Operation Golden Phoenix. Operation Golden Phoenix is a four-day multi-agency collaborative training event designed to assist federal, state and local agencies with large and…
DISA Reaches out to Industry on Cloud Computing
In an interview with Computerworld , published in the New York Times, John Garing expanded on his goals for the DISA cloud computing initiative. Garing said that, “… he and…
Cloud Computing is $160B Market
According to the Financial Post, a Merrill Lynch Note estimates that cloud computing could be a $160B market by 2011. The companies that they see in the marketplace are shown…
SOA-R Educational Series: What is Cloud Computing
On July 16th, SOA-R held it’s first of six educational sessions on cloud computing for national security missions. Presenters during this first event were: Steven L Armentrout, PhDPresident & CEOParabon…
Gartner: Cloud Computing Fraught with Security Risks
Cloud computing is fraught with security risks, according to analyst firm Gartner. Smart customers will ask tough questions, and consider getting a security assessment from a neutral third party before…
The Definition of “Net-centric”
Last week, the Google Cloud Computing Group debated the definition of net-centric. The key thought was that net-centric was nothing more than internet-centric or basically “online” and therefore it really…
Cloud Computing Journal Launched
“The world’s first journal devoted to the delivery of massively scalable IT resources as a service using Internet technologies has been launched by SYS-CON Media. The all-new “Cloud Computing Journal”…
SOA-R First Session Presentations Announced
The presentations for the first session of the SOA-R Educational Series sesion have just been announced: Steven L Armentrout, PhDPresident & CEOParabon Grids, Clouds and Computation: Getting to Ground Truth…
Cloud Storage as a Service
In SAN vs cloud storage – a gray or silver lining? , Joseph Hunkins review last December’s observations of cloud storage by Chris Mellor of Techworld: “Google does not use…
Google: Model for the Systems Architecture of the Future
In December of 2005, Prof. Paul A. Strassmann of George Mason University, provided an excellent outline for cloud computing success in a netcentric environment: Network-Centric Requirements (2010)• Downtime ( 1…
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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- CPUcoin Expands CPU/GPU Power Sharing with Cudo Ventures Enterprise Network Partnership
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Cybersecurity
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