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Johannes Schützel, Jan Himmelspach, Holger Meyer, Andreas Heuer, and Adelinde M Uhrmacher (2012)

Streaming data management for the online processing of simulation data

Poster, , Online Proceedings of the 2012 Winter Simulation Conference.

The fast processing (storing; computing control variates) of simulation data is essential for efficient simulation. The impact of poor data processing might annihilate all the efforts invested into designing high-performance algorithms for computing the trajectories. Streaming data management can be used as an alternative to the more classical approaches (in-memory and write-and-read-back mechanisms). In first experiments our implementation of streaming data management shows better run time performance than in-memory solutions, although the streaming additionally integrates online calculations, e.g., to determine variance and average.

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