Abstract: A method of monitoring a network is provided that includes receiving a stream of samples having respective network delay values; defining at least one first group of samples having a size defined by a window size; determining respective first network delay characteristics for the first groups based on the network delay values corresponding to the respective samples included in the corresponding group; applying a first test to the first network delay characteristic determined for the respective first groups; adjusting the window size based on a result of the first test associated with the respective first groups; using the adjusted window size, define respective second groups of samples having samples of the stream of samples subsequent to the samples included in the at least one first group; determining a second network delay characteristic for the respective second groups; applying a second test to the second network delay characteristics; and determining whether to generate an alert notification based on a

Abstract: A method of monitoring a network is provided that includes receiving a stream of samples having respective network delay values; defining at least one first group of samples having a size defined by a window size; determining respective first network delay characteristics for the first groups based on the network delay values corresponding to the respective samples included in the corresponding group; applying a first test to the first network delay characteristic determined for the respective first groups; adjusting the window size based on a result of the first test associated with the respective first groups; using the adjusted window size, define respective second groups of samples having samples of the stream of samples subsequent to the samples included in the at least one first group; determining a second network delay characteristic for the respective second groups; applying a second test to the second network delay characteristics; and determining whether to generate an alert notification based on a

Abstract: There is provided a template stack that receives data from a plurality of nodes in a communication network. The template stack maps the received data to a common data framework and receives a template request from a client node. The template request preferably includes at least one transform function. In response to receiving the template request, the template stack performs the at least one transform function on the data to yield transform data and transmits the transform data to the client node.

Abstract: A method is disclosed. The method includes identifying locations of one or more points of interest, identifying an area of interest on a map displayed on a display device, identifying points of interest within the area of interest, selecting a level of detail and clustering the points of interest within the level of detail based on the location of the points of interest relative proximity to other points of interest.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.