Abstract: A system for analyzing the performance of a network includes a data collection agent that collects performance data including first and second sets of measurements of a single network parameter. First and second variance statistics are calculated. A user is alerted about potential network performance problems based on whether a predetermined relationship exists between the variance statistics. The user may be notified by sending an e-mail to the user; and/or sending a fax to the user; and/or initiating a phone call to the user. The user may be alerted by a message to a PDA or a cellular telephone.

Abstract: Disclosed is a system and method that collects measurements of network performance metrics and automatically calculates and provides composite variance analysis of such metrics. The system and method can then use history of performance data statistics to alert a user about performance of network services that are outside acceptable tolerance or control limits. The technique exposes subtle deviation from accepted measurement tolerance that can, in turn, be categorized in relation to control limits based on defined standard deviation thresholds.

Abstract: A system and method collects measurements of network performance metrics and automatically calculates and provides composite variance analysis of such metrics. The system and method may use history of performance data statistics to alert a user about performance of network services that are outside acceptable tolerance or control limits. The technique exposes deviation from accepted measurement tolerances that can, in turn, be categorized in relation to control limits based on defined standard deviation thresholds.

Abstract: Disclosed is a system and method that collects measurements of network performance metrics and automatically calculates and provides composite variance analysis of such metrics. The system and method can then use history of performance data statistics to alert a user about performance of network services that are outside acceptable tolerance or control limits. The technique exposes subtle deviation from accepted measurement tolerance that can, in turn, be categorized in relation to control limits based on defined standard deviation thresholds.