Abstract: Traditional infrastructure monitoring systems have the disadvantage that they either fail to consider dependency between metrices or consider the dependency only at an abstract level, which adversely affects efficiency with which a performance assessment of the infrastructure being monitored can be carried out. Another disadvantage of the existing systems is that manual intervention is required at different stages of the infrastructure monitoring. The disclosure herein generally relates to infrastructure monitoring, and, more particularly, to a method and system for identifying correlation between metrices in the infrastructure. The system uses a hybrid correlation approach which considers determining a dominant correlation from among a direct correlation and a chained correlation that may exist between each pair of metrices being considered at a time for determining the correlation.

Abstract: Traditional infrastructure monitoring systems have the disadvantage that they either fail to consider dependency between metrices or consider the dependency only at an abstract level, which adversely affects efficiency with which a performance assessment of the infrastructure being monitored can be carried out. Another disadvantage of the existing systems is that manual intervention is required at different stages of the infrastructure monitoring. The disclosure herein generally relates to infrastructure monitoring, and, more particularly, to a method and system for identifying correlation between metrices in the infrastructure. The system uses a hybrid correlation approach which considers determining a dominant correlation from among a direct correlation and a chained correlation that may exist between each pair of metrices being considered at a time for determining the correlation.