DocumentCode
2353617
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
fYear
2011
fDate
27-30 June 2011
Firstpage
49
Lastpage
60
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Dependable Systems & Networks (DSN), 2011 IEEE/IFIP 41st International Conference on
Conference_Location
Hong Kong
ISSN
1530-0889
Print_ISBN
978-1-4244-9232-9
Electronic_ISBN
1530-0889
Type
conf
DOI
10.1109/DSN.2011.5958206
Filename
5958206
Link To Document