Fluke Corporation

Matthew A Tucker

Kent Laver

Thomas R Nisbet

James Thomas Menzies

Gordon Brandyburg

Jeff Kobryn

Naresh Kumar Kannan

An apparatus and method are provided for analyzing traffic on a network by monitoring packets sent between devices on the network and identifying applications occurring between devices on the network based on information derived from monitoring the packets. Techniques are provided to examine header information of the packets, such as information in the header of Internet Protocol (IP) packets, to identify applications that are occurring on the network. In some cases, information about the packet beyond the header information is examined to match a packet to a particular application. Using these techniques, a list is built of all of the applications occurring between devices on the network. Parameters may be generated to track one or more of the response time, latency and traffic volume associated with a particular device on the network.

Methods and apparatus for analyzing and management of application traffic on networks

A system for identifying chronic performance problems on data networks includes network monitoring devices that provide measurements of performance metrics such as latency, jitter, and throughput, and a processing system for analyzing measurement data to identify the onset of chronic performance problems. Network behavior is analyzed to develop a baseline performance level (e.g., computing a mean and variance of a baseline sample of performance metric measurements). An operating performance level is measured during operation of the network (e.g., computing a mean and variance of an operating sample of performance metric measurements). A chronic performance problem is identified if the operating performance level exceeds a performance threshold and a difference between the baseline performance level and the operating performance level is determined to be statistically significant. A t-test based on the baseline mean and variance and the operating mean and variance can be used to determine if this difference is significant.

Methods and apparatus for identifying chronic performance problems on data networks

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Gaithersburg, MD, United States of America

Matthew A Tucker