This paper presents a set of innovative algorithms and a system, named Log Master, for
mining correlations of events that have multiple attributions, ie, node ID, application ID, event
type, and event severity, in logs of large-scale cloud and HPC systems. Different from
traditional transactional data, eg, supermarket purchases, system logs have their unique
characteristics, and hence we propose several innovative approaches to mining their
correlations. We parse logs into an n-ary sequence where each event is identified by an�…

This paper presents a methodology and a system, named LogMaster, for mining correlations
of events that have multiple attributions, ie, node ID, application ID, event type, and event
severity, in logs of large-scale cluster systems. Different from traditional transactional data,
eg, supermarket purchases, system logs have their unique characteristic, and hence we
propose several innovative approaches to mine their correlations. We present a simple
metrics to measure correlations of events that may happen interleavedly. On the basis of the�…