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Microsoft vs Google in Cloud Computing
Many took note of the Randall Stross essay in the New York Times last weekend. In it he succintly described why Microsoft is failing in it’s attempt to bridge the…
IBM at Forrester IT Forum
At the Forrester IT Forum yesterday in Las Vegas, Rick Lechner, VP Enterprise Systems at IBM, made the following comments The changing face of globalization (transformation from exporting to multi-nationals…
HP & EDS
In an interesting take on his Enterprise Architecture blog, Chris Pearson sees the HP acquisition of EDS as a ploy by HP to remain relevant in a cloud computing world.…
The Library of National Intelligence (LNI) – A Possible Cloud Application
In the MAZZ-INT Blog a couple of weeks ago, Joe Mazzafro artile on “Intelliigence and the Concept of Customer” stated that a “realistic business model for the IC to assume…
Net-Centric Enterprise Services – An Update
Net-Centric Enterprise Services (NCES) is about to enter the initial operational test and evaluation phase. NCES are a set of capabilities that support network-centric warfare operations and information sharing. It…
Microsoft Renews Yahoo Bid
Microsoft renews Yahoo bid and is now offering to buy a piece of Yahoo. I believe this is just the opening of the second round. Follow me at https://Twitter.com/Kevin_Jackson
Cloud Computing Risk
CIO.com reviewed the top three concerns that the IT executives have regarding the adoption of cloud computing – security, latency, and SLA. These concerns seem similar to those previously assigned…
Grid vs. Cloud – May 17, 2008
From Geva Perry’s April 25th blog Cloud Computing overtaking the term Grid Computing With the term “cloud computing” rapidly being hyped everywhere, I did this little exercise on Google Trends…
Blogsphere Clouds – May 16, 2008
The cloud is billowing in the blogsphere !! Virtual Computing in the Cloud — How a Universal Dialtone Will …Virtual Cloud Computing represents the next wave of virtualization and offers…
Gartner on Cloud Computing / Yahoo vs. Icahn- May 15, 2008
Gartner thinks that cloud computing may be the next big thing: By 2012, 80 percent of Fortune 1000 enterprises will pay for some cloud computing service and 30 percent of…
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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