Keysight Technologies, Inc.

Breakingpoint Systems, Inc.

Deep Datta

Alexander Tomlinson

Dennis James Cox

Stefan Jan Johansson

Madhu Hosakoppa Rangappagowda

David Evans

Ryan S Clifton

Vihari Durga Pragada

Thomas Thorn

Gregory Lane Singleton

Ethan Paul Spurlock

Marc Owen Magnuson

George Lache

Jeremy B Moss

Methods, systems, and computer readable media for detecting network service anomalies. An example method includes, during a learning phase, detecting a client initiating a first network interaction with an application and recording a start time for the first network interaction with the application; determining that the first network interaction with the application has ceased and recording an end time for the first network interaction; and determining, based on the start time and the end time, an application interaction rate for the first network interaction with the application. The method includes, during a detection phase, detecting the client initiating a second network interaction with the application; determining a second application interaction rate for the second network interaction; and determining that a network service anomaly occurred during the second network interaction based on the first application interaction rate and the second application interaction rate.

Methods, systems, and computer readable media for detecting network service anomalies

The subject matter described herein includes methods, systems, and computer readable media for proactive network testing. One method for proactive network testing includes receiving, by a test controller and via a network tap, at least one metric associated with live network traffic; determining, by the test controller and using the at least one metric and a threshold value associated with the at least one metric, that a network test is to be performed; configuring, by the test controller, a first test agent to execute the network test; and executing, by the first test agent, the network test.

Methods, systems and computer readable media for proactive network testing

Systems and methods are disclosed for application identification and dynamic signature generation for managing network communication systems. Communication sessions and related packet flows are monitored within a network communication system. Application level information is extracted from session packets by unpacking one or more communication protocols associated with the network packets to obtain application level information encapsulated within the network packets. The extracted application level information is compared to a database of known application signatures in order to identify known applications. For unknown applications, the application level information is used to generate new dynamic application signatures. The application level information can also be used to identify and access external network-accessible resources to obtain additional identification information for the unknown application. Identification information for the newly detected application can then be provided to a user along with flow control options for the newly detected application.

Application identification and dynamic signature generation for managing network communications

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Austin, TX, United States of America

Deep Datta