Tektronix, Inc.

Netscout Systems Texas, LLC

Robert Todd Wilkinson

Aleksey G Ivershen

Wei Dong

Systems and methods for calculating and presenting confidence interval(s) for key performance indicator(s) (KPIs) are described. For example, in some embodiments, a method may include identifying vectors representing network events observed by a network monitoring system, each vector including: a dimension, an indication of a sampling ratio with which a respective event was observed, and a value associated with the dimension. The method may also include calculating a KPI corresponding to the observed events for the dimension based, at least in part, upon the values. The method may further include calculating a confidence associated with the KPI, based, at least in part, upon the sampling ratios. In some cases, events may be observed with different sampling ratios. Additionally or alternatively, sampling ratios may include adaptive sampling ratios controlled by the network monitoring system in response to network or resource loading (e.g., subject varying over time), whitelist differentiated sampling ratios, etc.

Confidence intervals for key performance indicators in communication networks

Systems and methods for data integrity scoring and visualization for network and customer experience monitoring are described. In some embodiments, a method may include receiving a first set of vectors, each vector representing a network event generated by a network testing system, each vector including a plurality of dimensions and a first plurality of values, each value associated with a corresponding one of the dimensions. The method may also include identifying a second set of vectors representing at least a portion of the network events as observed by a network monitoring system, each vector in the second set of vectors including the plurality of dimensions and a second plurality of values. The method may further include calculating a presence score as a ratio between a number of vectors in the second and first sets of vectors, and/or an accuracy score as a measure of a discrepancy between corresponding values.

Data integrity scoring and visualization for network and customer experience monitoring

Systems and methods for the adaptive monitoring of telecommunications networks are described. In some embodiments, a method may include monitoring traffic transmitted through a mobile telecommunications network (e.g., 3G, 4G, LTE, etc.) and identifying a monitoring rule. The monitoring rule may associate a selected portion of the traffic (e.g., based on content type, source, destination, transport protocol, session, etc.) with a monitoring sampling ratio, and the monitoring sampling ratio may determine a fraction of the selected portion of the traffic usable to provide one or more performance indicators (e.g., service indicators, network congestion, connection maintenance, service quality, and/or network availability). The method may further include modifying the monitoring sampling ratio in response to a change in network monitoring conditions (e.g., one or more probes operating at or near capacity, scheduled maintenance events, peak traffic times, etc.)

Adaptive monitoring of telecommunications networks

Video data packets transmitted through a wireless network are captured by a network monitoring system. Video data sessions are detected from the video data packets. Key parameters are identified within the video data packets, such as video bit rate, resent or failed video packets, and video session duration. A Quality of Experience (QoE) is determined for some or all users associated with the video sessions based upon the key parameters. A header extension is added to the video data packets by a transcoding system. The header extension includes data associated with original and transcoded video data packets. The network monitoring system monitors the header extension and evaluates the effect of video transcoding upon the overall QoE for users. The monitoring system provides feedback to a transcoding policy engine based upon the effect of transcoding upon QoE.

Growing community of inventors

Plano, TX, United States of America

Robert Todd Wilkinson