Title :
Provenance in High-Energy Physics Workflows
Author :
Dolgert, Andrew ; Gibbons, Lawrence ; Jones, Christopher D. ; Kuznetsov, Valentin ; Riedewald, Mirek ; Riley, Daniel ; Sharp, Gregory J. ; Wittich, Peter
Author_Institution :
Cornell Univ., Ithaca, NY
Abstract :
The adoption of large-scale distributed computing presents new opportunities and challenges for the physicists analyzing data from the Large Hadron Collider experiments. With petabytes of data to manage, effective use of provenance is critical to understanding the results.
Keywords :
data analysis; high energy physics instrumentation computing; object-oriented programming; compact muon solenoid; data analysis; high-energy physics software design; large-scale distributed computing; Analytical models; Data analysis; Detectors; Large Hadron Collider; Particle production; Performance analysis; Physics computing; Production systems; Reproducibility of results; Systematics; Provenance; metadata; physics; scientific databases;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2008.81
