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The required components to conduct this experiment are: a benchmark to generate the workload patterns, an infrastructure to deploy the benchmark, and an implementation of the prediction algorithms.
These institutions were taken as the benchmark to generate ideas for improvements for the other study sites.
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The dataset is of sufficient size to generate generalized benchmark data in terms of portal-based high-performance computing.
In the next subsection, we will describe the testbed and benchmark setup used to generate results.
The best obtained dispatching rule is combined with a list of benchmark dispatching rules to generate a set of candidate rules.
Future studies with benchmark materials are needed to generate comparable results.
This is a centralized design and may not be practical, but can be used to generate benchmark results.
Amongst these methods, only a few are used to generate "benchmark" results in the atmospheric science community.
In this context, we introduce QATCH, an integrated framework that applies static analysis to benchmark repositories in order to generate software quality models tailored to stakeholder specifications.
They have provided an extension of their algorithm to generate benchmark networks with an extra submodular level and made it available here: http://sites.google.com/site/santofortunato/inthepress2.com/site/santofortunato/inthepress2
We considered using the type of phone use totals collected by RMSSS [ 18] to generate benchmark populations by age group, sex, stratum and type of phone use.
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