Friday, February 28, 2014

Visualization Vs Cloud

Visualization Vs Cloud

Visualization is usually a component of cloud, whether public or private.

Cloud computing is the delivery of shared computing resources, software or data as a service via the Internet, as opposed to virtualization, which is part of a physical infrastructure. For users of either technology, it may appear that the two are one in the same, as the applications or data they’re accessing are pulled from a virtual machine somewhere unconnected to a physical host. That’s partly where some of the confusion happens.
Cloud computing is built on top of a virtualized infrastructure, consisting of compute, storage and network components. There are a variety of different service models that represent cloud computing, such as SaaS, IaaS, and PaaS (I’ll cover these in a later post), and there are many key characteristics that define the “cloud”, such as agility, scalability, automation, and on-demand service delivery.

  1. On-demand self-service (IT still has to provision virtual machines for their internal customers).
  2. Broad, network access (this deployment is only available for internal customers on the network)
  3. Resource pooling (this is where virtualization fits, so yes, this requirement is met)
  4. Rapid elasticity (IT still has to provision VMs individually by installing the OS and software, and they don’t necessarily scale fast)
  5. Measured service (IT is charging costs back to other departments based on traditional budgeting, not based on actual usage)
So, while virtualization tends to be a component and enabler of cloud services, true cloud services provide specific benefits to both the consumers and the IT departments deploying them.


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