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This big amount of data must be analyzed with innovated technologies to discover new knowledge.
As a result, a huge amount of data must be re-arranged at runtime when the comparison tasks are executed, degrading the overall computing performance significantly.
In the application of 2-D adaptive filters, a large amount of data must be processed and real-time processing is often required.
This discussion is more relevant in the cases where a considerable amount of data must be transfered, like an image, for example.
Regarding the large amount of expiration time, security weakens and with the small amount of expiration times, certificates must be frequently renewed, so this may produce performance problems, because large amount of data must be transferred between DCAs and client nodes.
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In a data-intensive computing environment, massive amounts of data must be filtered, analyzed, and stored.
And while vast amounts of data must still be collected and analyzed, the bottom line is already clear.
More precisely, the multilevel structure inevitably requires a complex control system since large amounts of data must be processed within a short time.
In this experiments, we demonstrated that for applications where large amounts of data must be transfered, the must appropriate approach is to transfer multiple data in a unique HLA array type, like in experiments 4 and 5.
The efficient methods to store, retrieve and process large amounts of data must be improved to reduce errors in image analysis and base-calling and remove low-quality reads [22].
Thus, prediction of landslide susceptibility is difficult because an enormous amount of spatial data must be acquired from the region and processed (Park et al. 2013).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com