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Cloud Computing and the Process Integration Era
The Industry Advisory Council (IAC) is a non-profit, non-partisan organization dedicated to fostering improved communications and understanding between government and industry. through its affiliation with the American Council for Technology…
The Tactical Cloud
When cloud computing first came in vogue, there was a rather serious discussion about the private cloud concept. The whole idea of cloud computing seemed to argue against implementing such…
“Cloud Musings” Now on SYS-CON Media “Cloud Computing Journal” !!
I’m happy to announce that a recent “Cloud Musings” article, “Commercial vs Federal Cloud Computing ” has been reposted on SYS-CON Media’s “Cloud Computing Journal“. Thank you SYS-CON for making…
How to make clouds interoperable and standard !!
This has been a huge part of my life over the past few weeks! This is my personal view. WARNING: DON’T EXPECT THE ANSWER TO BE FOUND BELOW !!! There…
The Tension between Public and Private Clouds
Last week, during discussion on cloud interoperability and standards in Israel, I saw for the first time a real dichotomy in the value of public (external) and private (internal) clouds.…
Cloud Computing for Continuity of Operations (COOP)
Recently, I’ve been focusing on cloud computing for COOP. The way I looked at it, many government agencies are already using commercial shared facilities as COOP sites and that the…
NCOIC Plenary Session
Hopping a plane to the west coast today to attend the NCOIC Plenary in Costa Mesa, California. First day “Cloud Computing for Net-Centric Operations” agenda includes: David Ryan, Chief Architect…
Dataline named “Top 100 Cloud Computing Company”
SYS-CON’s Cloud Computing Journal included Dataline in its expanded list of the most active players in the cloud ecosystem. In adding Dataline to the “Top 100” list, Jeremy Geelan noted…
Autoscaling into the cloud- Good or Bad?
I always thought saw the ability to autoscale into a cloud infrastructure as a good thing. George Reese presented a differing view on the O’Reilly blog recently. “Auto-scaling is the…
Cloudera must be reading the script!
“Cloud computing leapt out as the most obvious way to address enterprise large data problems” – Ken Pierce, IT Specialist, DIA-DS/C4ISR “We view Hadoop as the key enabler…[in] optimizing the…
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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