Abstract: Systems and methods include obtaining measured data from a plurality of network elements in a network, wherein the measured data is associated with Operations, Administration, and Maintenance (OAM) functions for each of the plurality of network elements, analyzing the measured data to statistically determine thresholds for any of the OAM functions, and configuring the plurality of network elements with the determined thresholds, wherein the plurality of network element utilize the determined thresholds to compare ongoing measured data for threshold crossings for any of alarms and actions.

Abstract: Systems and methods include obtaining measured data from a plurality of network elements in a network, wherein the measured data is associated with Operations, Administration, and Maintenance (OAM) functions for each of the plurality of network elements, analyzing the measured data to statistically determine thresholds for any of the OAM functions, and configuring the plurality of network elements with the determined thresholds, wherein the plurality of network element utilize the determined thresholds to compare ongoing measured data for threshold crossings for any of alarms and actions.

Abstract: Systems and methods include obtaining measured data associated with one or more parameters associated with operation of a network element in a network, wherein the measured data is over a learning window; analyzing the measured data to statistically determine thresholds for the one or more parameters; and configuring the network element with the determined thresholds for the one or more parameters, wherein the network element is configured to compare ongoing measurements of the one or more parameters with the determined thresholds, and to use any threshold crossings for any of alarming and actions on the network element. The systems and methods can further include, subsequent to a predetermined time period after the configuring, recalibrating the thresholds for the one or more parameters based on updated measured data and reconfiguring the network element with the recalibrated thresholds for the one or more parameters.

Abstract: Systems and methods include obtaining measured data associated with one or more parameters associated with operation of a network element in a network, wherein the measured data is over a learning window; analyzing the measured data to statistically determine thresholds for the one or more parameters; and configuring the network element with the determined thresholds for the one or more parameters, wherein the network element is configured to compare ongoing measurements of the one or more parameters with the determined thresholds, and to use any threshold crossings for any of alarming and actions on the network element. The systems and methods can further include, subsequent to a predetermined time period after the configuring, recalibrating the thresholds for the one or more parameters based on updated measured data and reconfiguring the network element with the recalibrated thresholds for the one or more parameters.

Abstract: Systems and methods for node isolation detection include, in one or more hub nodes in an Ethernet network having a first ring and a second ring that subtends off the one or more hub nodes on the first ring, operating a first plurality of Operations, Administration, and Maintenance (OAM) sessions with each node in the second ring in a first direction around the second ring; operating a second plurality of OAM sessions with each node in the second ring in a second direction around the second ring; and correlating and detecting faults and node isolation in the second ring based on the first plurality of OAM sessions and the second plurality of OAM sessions.

Abstract: Systems and methods for node isolation detection include, in one or more hub nodes in an Ethernet network having a first ring and a second ring that subtends off the one or more hub nodes on the first ring, operating a first plurality of Operations, Administration, and Maintenance (OAM) sessions with each node in the second ring in a first direction around the second ring; operating a second plurality of OAM sessions with each node in the second ring in a second direction around the second ring; and correlating and detecting faults and node isolation in the second ring based on the first plurality of OAM sessions and the second plurality of OAM sessions.

Abstract: A G.8032 misconfiguration detection method in a node includes receiving a mapped configuration from another node on a ring, wherein the mapped configuration includes a mapping of G.8032 instances to Virtual Local Area Network (VLAN) identifiers configured at the another node; comparing the mapped configuration with a local configuration on the node; and, responsive to a mismatch in the comparing, providing one of a trap and a notification based on the mismatch. The G.8032 misconfiguration can include one of a VLAN not mapped as protected to a node and a VLAN removed from a protected list at the node.

Abstract: A G.8032 misconfiguration detection method in a node includes receiving a mapped configuration from another node on a ring, wherein the mapped configuration includes a mapping of G.8032 instances to Virtual Local Area Network (VLAN) identifiers configured at the another node; comparing the mapped configuration with a local configuration on the node; and, responsive to a mismatch in the comparing, providing one of a trap and a notification based on the mismatch. The G.8032 misconfiguration can include one of a VLAN not mapped as protected to a node and a VLAN removed from a protected list at the node.