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.
Oliner and Aiken REF propose an online, scalable method for inferring the interactions among the components of large production systems, such as supercomputers, data center clusters, and complex control systems.
Online detection of multi-component interactions in production systems
2011 IEEE/IFIP 41st International Conference on Dependable Systems & Networks (DSN)
2011 IEEE/IFIP 41st International Conference on Dependable Systems & Networks (DSN)
Computer Science