Empirix Inc.

David Hsing-Wang Wong

Tibor F Ivanyi

Anuj Nath

Sergey L Eidelman

Anne-Marie Turgeon

John David Doyle

Peter Savage

Eduardo Joo

Jason Neri

Monica Chandnani

A method of modeling user behavior in an IP network, comprising the steps of allowing a testing user to create a behavior profile specifying one or more user activities from a plurality of user activities performed by a user over the IP network, one or more bandwidth usage levels corresponding to the one or more user activities, and an importance level associated with each user activity; associating one or more applications from a plurality of applications with the one or more user activities; emulating the behavior profile over the IP network by performing the one or more user activities using the one or more applications; and measuring a quality of experience (QoE) score for each user activity from the one or more user activities.

Method for modeling user behavior in IP networks

A method for synchronizing different components of a computer network system using meta-commands embedded in normal network packets. The data communication channel between different components of a computer network system can be used to transport meta-commands piggybacked in normal network packets, without modifying or compromising the validity of the protocol message. Embodiments of the method can be used for embedding test synchronization and control commands into the network packets sent through a device or system under test. The device or system under test can be an edge device, with the data communication channel carrying normal packets containing meta-commands embedded in the packets to synchronize the test control of the test clients and the test servers connected to the edge device.

Method for embedding meta-commands in normal network packets

An embodiment of the present invention provides a method for establishing Quality of Experience (QoE) measurements and metrics for different types of actual user activities over IP networks. These activities include, but are not limited to web browsing, sending and receiving email, file downloading and uploading, peer to peer (P2P) networking, VoIP, online gaming, and media streaming. The measurement of the QoE metrics is based on both objective and subjective metrics, including network characteristics, such as packet loss and latency, along with empirical observations of the user activities.

Method for determining a quality of user experience while performing activities in IP networks

Methods and apparatus provide for a finite state machine environment to receive at least one event. The finite state machine environment converts the event to a finite state machine event. The finite state machine environment selects a first event processing table from a plurality of interoperable event processing tables. The finite state machine environment processes the finite state machine event in the first event processing table to determine an action to perform based on a state of the finite state machine embodied by the first event processing table and a type of the event.

Table driven event processing of multiple stateful protocols in a high performance network stack framework

A system and method for testing signals in digital-network packets includes generation of reference clips and associated reference key values and comparison of the reference key values with current key values associated with incoming current-digital-network packets under test In this way the incoming current-digital-network packets can be tested for either a correct audio and/or video signal or a signal with sufficiently high signal integrity to allow it to be understood by a user at a destination point.

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Billerica, MA, United States of America

David Hsing-Wang Wong