Name
Abstract | ||
|---|---|---|
Complex system-leve simulation can produce large amounts of data, of which only portions may be of interest. When experimenting with hybrid prototypes, consisting of physi-cal and simulated components, data logs are generated and inspected in real-time. Storing full data logs would not only require much disk space, it would also require much effort to find special events and related system actions afterwards. Targeted on-line data extraction helps to instantly provide the data of interest. We present SystemXtract, a power-ful specification language and tool for on-line data extrac-tion, supporting origin-, value- and dynamic phase-based constrains on the data. The main contribution of this paper is to show how the language can be mapped to a graph-based processing architecture for executing data extraction as specified. Experiments show that the tool-induced over-head in computation time is insignificant and that the real-time execution of the hybrid prototype is not compromised, while the output is reduced to the interesting data. |
Year | Venue | Field |
|---|---|---|
2015 | SimuTools | Specification language,Graph,Data mining,Architecture,Computer science,Digital subscriber line,Real-time computing,Data extraction,Computation |
DocType | Citations | PageRank |
Conference | 1 | 0.37 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johannes Schützel | 1 | 9 | 1.95 |
| Sebastian Stieber | 2 | 2 | 1.09 |
| Christian Haubelt | 3 | 796 | 68.77 |
| Adelinde M. Uhrmacher | 4 | 755 | 81.53 |