Abstract: An information system identifies redundant communication paths between a server and a storage device in a storage area network and classifies the state of the paths according to the distribution of workload amongst them. To make the classification, the information system pairs up active paths. For each pair of active paths, the information system identifies traffic data of the two paths. The information system compares the traffic data of the two paths. Based on the comparison, the information system determines whether workload is balanced or imbalanced between the two paths.

Abstract: For each monitored entity in a storage area network (SAN), metric data associated with the entity is collected. Based on the metric data of an entity, a determination is made as to whether the entity experienced abnormal events. For each entity for which one or more abnormal events are identified, the information system determines an aggregated event score based on the abnormal events identified for the entity. Representation of the entities are presented to a user, where the representations are ordered based on the aggregated event scores of the entities.

Abstract: A link in a storage area network (SAN) is identified that is being affected by one or more slow draining devices. Devices in the SAN are identified as candidates for potentially being a slow draining device affecting the link. For each identified candidate device, metric data is identified that describes, for example, traffic activity of the candidate device, such as data transmission rates of the candidate device. Additionally, metric data is identified for the link. For each candidate device, a correlation value is determined that indicates the likelihood that the candidate device is a slow draining device affecting the link. The correlation value of a candidate device is determined based on the correlation between the metric data of the device and the metric data of the link. One or more of the correlation values are presented to a user via a user interface.

Abstract: A monitoring system maintains multiple counts. Each of these counts is associated with a range and indicates a number of network transactions that occurred in a storage area network (SAN) during a time period with values that are within the associated range. When the monitoring system identifies the occurrence of a network transaction between devices in the SAN, the monitoring system determines a time duration and/or a size of the network transaction. The monitoring system identifies a count associated with a time range that includes the determined time duration and increments the identified count. Additionally, the monitoring system identifies a count associated with a size range that includes the determined size and increments the identified count.

Abstract: An information system identifies redundant communication paths between a server and a storage device in a storage area network and classifies the state of the paths according to the distribution of workload amongst them. To make the classification, the information system pairs up active paths. For each pair of active paths, the information system identifies traffic data of the two paths. The information system compares the traffic data of the two paths. Based on the comparison, the information system determines whether workload is balanced or imbalanced between the two paths.