Streaming data management for the online processing of simulation data

Authors:
Johannes Schützel;Jan Himmelspach;Holger Meyer;Andreas Heuer;Adelinde M. Uhrmacher
Affiliations:
University of Rostock, Rostock, Germany;University of Rostock, Rostock, Germany;University of Rostock, Rostock, Germany;University of Rostock, Rostock, Germany;University of Rostock, Rostock, Germany
Venue:
Proceedings of the Winter Simulation Conference
Year:
2012

Citing 3
Cited 0

Plug'n Simulate

ANSS '07 Proceedings of the 40th Annual Simulation Symposium
Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing

Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing
Enhancing the Scalability of Simulations by Embracing Multiple Levels of Parallelization

PDMC-HIBI '10 Proceedings of the 2010 Ninth International Workshop on Parallel and Distributed Methods in Verification, and Second International Workshop on High Performance Computational Systems Biology

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.