Citrix Systems, Inc.

Other

Georgios Papaloukopoulos

Aikaterini Kalou

Nicholas James Stavrakos

Georgios Tsolis

Athanasios Kordelas

Asterios Stergioudis

Described embodiments provide systems and methods for inferring a network type and network conditions. The system includes a packet capturing engine configured to capture a plurality of network packets from a plurality of TCP network connections. The system includes a packet analyzer configured to analyze the plurality of network packets to generate a plurality of metrics. The system includes a network classifier configured to infer network types of the plurality of TCP connections based on the plurality of metrics and at least one classification model. The system also includes a conditions ranking engine configured to estimate a level of network congestion for each TCP connection based on the plurality of metrics and the network types.

Inferring radio type from clustering algorithms

Described embodiments provide systems and methods for anomaly detection and root cause analysis. A root cause analyzer receives a plurality of data samples input to an anomaly detection engine, and a corresponding plurality of anomaly labels output from the anomaly detection engine. The root cause analyzer trains a classification model using the plurality of data samples and the corresponding plurality of anomaly labels. The root cause analyzer determines, using the trained classification model and the plurality of data samples, relative contributions of anomalous features in a data sample of the plurality of data samples, to a prediction that the data sample is anomalous. The root cause analyzer provides the relative contributions of anomalous features to a device, to determine an action in response to the prediction that the data sample is anomalous.

Root cause analysis in multivariate unsupervised anomaly detection

Inferring congestion and signal quality

Growing community of inventors

Patras, Greece

Georgios Papaloukopoulos