Title :
Online detection of multi-component interactions in production systems
Author :
Oliner, Adam J. ; Aiken, Alex
Author_Institution :
Dept. of Comput. Sci., Stanford Univ., Stanford, CA, USA
Abstract :
We present an online, scalable method for inferring the interactions among the components of large production systems. We validate our approach on more than 1.3 billion lines of log files from eight unmodified production systems, showing that our approach efficiently identifies important relationships among components, handles very large systems with many simultaneous signals in real time, and produces information that is useful to system administrators.
Keywords :
DP management; log flies; online multicomponent interaction detection; system administrators; unmodified production systems; Approximation methods; Correlation; Delay; Instruments; Principal component analysis; Production systems; Watches; System management; anomalies; modeling; signal compression; statistical correlation;
Conference_Titel :
Dependable Systems & Networks (DSN), 2011 IEEE/IFIP 41st International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-9232-9
Electronic_ISBN :
1530-0889
DOI :
10.1109/DSN.2011.5958206
