Big Data Management Framework based on Virtualization and Bitmap Data Summarization

Yu Su · OhioLink ETD Center (Ohio Library and Information Network) · 2015

In recent years, science has become increasingly data driven.Data collected from instruments and simulations is extremely valuable for a variety of scientific endeavors.The key challenge being faced by these efforts is that the dataset sizes continue to grow rapidly.With growing computational capabilities of parallel machines, temporal and spatial scales

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