Database Reference
In-Depth Information
they can manage resources more effectively and efficiently by having the
applications request resources only what they need on-demand according to the
pay-as-you-go
philosophy.
4.
Potential for shrinking the processing time
: Parallelization is the one of the well-
known techniques to speed up processing. For example, if you have a compute-
intensive or data-intensive job that can be run in parallel takes 500 h to process
on one machine. Using cloud technology, it would be possible to spawn and
launch 500 instances and process the same job in 1 h. Having available an elastic
infrastructure provides the application with the ability to exploit parallelization
in a cost-effective manner reducing the total processing time.
