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In a distributed computing environment, where the data is located on multiple sites, this approach creates significant data interdependency issues as data needs to be transferred from multiple sites in order to be recombined, allowing the analysis to proceed to the next step.
We selected this analysis strategy to avoid problems with data interdependency and type-two clustering errors [34] at the cost of a substantial reduction in statistical power.
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The process involves identifying Insts in the input data, and grouping them together into OUs according to workflow data interdependencies.
The disadvantage of this approach however is that it creates significant data interdependencies, which in turn lead to data transfers that can severely degrade performance and increase overall costs.
Generally speaking, a workflow can be described as the execution of a sequence of concurrent processing steps, or else computational processes, the order of which is determined by data interdependencies as well as the target outcome.
A sensible approach to satisfying data interdependencies with the purpose of minimizing, or even eliminating unnecessary file transfers would be to stage all fragments whose output must be recombined on the same site.
It accomplishes that through the combination of a data management methodology that organizes the workflow into pipelines with minimal data interdependencies along with a scheduling policy for mapping their execution into a set of heterogeneous distributed resources comprising a hybrid cloud.
In this way, segments of the original workflow are partitioned into workflow ensembles (workflows of similar structure but differing in their input data) that have no data interdependencies and can then be executed independently in an approach reminiscent of a bag-of-tasks.
"Data have interdependencies.
A set of selective Nu, f and TPF data illustrates the interdependency between Nu, f, TPF and the air water flow structures in present test channels with different AR.
The QDB Explorer also includes visualization tools for inspecting data distributions and interdependencies.
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