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discovery. It is capable of linking geographically distributed standalone
applications and takes advantage of distributed computational resources
to achieve high throughput.
The event-driven and subscription-notii cation mechanisms developed
using the tuple spaces model make the workl ow execution loosely cou-
pled and l exible. Supporting parameterization in the workl ow language
allows users to easily dei ne a range and list of parameters for scientii c
experiments to generate a set of multiple parallel execution jobs. The
engine has been successfully applied to an fMRI analysis application. The
engine presented in this chapter facilitates users to build workl ows to
solve their domain problems and provides a basic infrastructure to sched-
ule workl ows in grid environments.
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