Sentence examples for restructuring of data from inspiring English sources

In a typical scenario, information about the periods of low database workload and about the data containers used by the applications at the periods of higher workload levels enables appropriate restructuring of data containers to speed up the future processing.

The restructuring of application data in a partition introduces additional cost due to data migration.

That is a fundamental restructuring of the data center, which includes a separation of infrastructure from the operating system and from the applications and services.

We have also restructured the distribution of data between the main and supplementary figures in Figures 5 and 10 to achieve a more logical succession of arguments.

First, by minimizing the restructuring of the SKB data structure, most of existing code can be reused without major code development.

A further outcome of the analysis is the restructuring of the faulty data to a fault-free form through the filtering out of noise and bias.

The dSTORM images obtained here could point to the possibility of increased aggregation of fibrils during restructuring, although data from other cell-wall layers obtained with a similar method would be necessary for comparison.

Simulation of the spread of disease across the networks demonstrates that this approach to restructuring the data enables efficient comparison of the impact of transmission rates on disease spread.

Even with the recent incorporation of natural language processing into i2b2, [ 18] it is difficult to imagine that the entire case control cohort assembly process could be completed automatically without significant restructuring of the format of clinical data inputs.

Data normalization is also useful to reduce the need for restructuring the collection of relations as new types of data are introduced.

Rather than renouncing the universal tree, many evolutionary biologists have instead elected to restructure their understanding of the TOL in relation to bodies of data and what can be done with them.