Patent ID: 7702482

Claim:
A method comprising: a) gathering a first time series of event data of a first server; b) gathering a second time series of event data of a second server; c) partitioning a timeline of the first time series into at least one time segment based on the second time series and a predetermined time window duration; d) counting a number of events of the second time series in each of the at least one time segment; e) determining a likelihood of a dependency relationship of the first time series from the second time series based on the number of events in each of the at least one time segment; f) determining a likelihood of no dependency relationship of the first time series from the second time series including determining a probability of the first time series as a function of a normalization constant; and g) selecting, by a processor, a maximum of the likelihood of the dependency relationship of the first time series from the second time series, and the likelihood of no dependency relationship of the first time series from the second time series.