Bernard Cyr - Aurora IL, US Mitchell Gerdisch - Naperville IL, US Tengywe Hong - Naperville IL, US Leonardo Silvestri - Naperville IL, US
Assignee:
Lucent Technologies Inc. - Murray Hill NJ
International Classification:
H04J003/24
US Classification:
370/474000
Abstract:
An IP sub-network includes a gateway and a plurality of sub-network processors in communication with the gateway. An IP address is associated with each sub-network processor, the IP address having a sub-network address portion corresponding to the sub-network and a host address portion corresponding to the sub-network processor. Each sub-network processor generates a transaction identifier for each signaling message that is communicated by the gateway to the signaling network. The transaction identifier is based on the IP address and can be generated by separating the sub-network address portion of the IP address and concatenating the host address portion with a numerical value, which corresponds to a predetermined, non-random ordering scheme. A signaling message can be routed to a sub-network processor by concatenating the sub-network address portion with the host address portion used as part of the transaction identifier.
Method And Apparatus For Monitoring Tcp Sessions In A Mobile Data Network And Developing Corresponding Performance Metrics
Leonardo Silvestri - Somonauk IL, US Tengywe E. Hong - Naperville IL, US
International Classification:
G06F 11/00
US Classification:
370253
Abstract:
These teachings provide for monitoring TCP sessions in a mobile data network and developing corresponding performance metrics to aid in monitoring session quality. The performance metrics can be used to form a corresponding indicator of aggregated session quality that can be used to facilitate the monitoring of TCP session quality.
Systems and methods for identifying a bad actor component needing repair or replacement are provided. The systems and methods can track unscheduled shopping events for maintenance or repair of equipment and identify a segment of the unscheduled shopping events. The segment represents a period of time during which the unscheduled shopping events occurred at a rate or frequency. A usage metric of parts in connection with the unscheduled shopping events occurring during the segment is determined. The usage metric indicates a cumulative amount of usage of the parts in connection with the unscheduled shopping events during the segment for the equipment relative to the cumulative amount of usage of the parts in connection with the unscheduled shopping events for other equipment during one or more other segments of equal length. The bad actor component in the equipment is identified based on the usage metric that is determined.