Empirix Inc.

Mark Figura

Tibor F Ivanyi

Sergey L Eidelman

Anne-Marie Turgeon

Laslo Turner

Eric Doiron

Kevin Putnam

Sreenivasan Alakappan

Steve Lizotte

Embodiments are directed to systems and methods for network monitoring and testing using self-adaptive Key Performance Indicator to establish thresholds to trigger alarms in network monitoring. The present embodiments will be described in the context of calculating KPIs for call detail records (CDRs) and using the KPIs for network monitoring.

Systems and methods for network monitoring and testing using self-adaptive triggers based on KPI values

Embodiments are directed to systems and methods for network monitoring and testing using dimension-value based KPIs that are configured and calculated from a stream of homogenous or heterogeneous data events. The embodiments describe flexible and abstract ways of specifying configurations for the calculation of the KPIs from the stream of network events. Embodiments are described in the context of calculating KPIs for call detail records (CDRs) for computer telephony events.

Systems and methods for network monitoring and testing using dimension value based KPIs

Embodiments are directed to systems and methods for network monitoring and testing using intelligent sequencing of data events so as to generalize the sequencing of events from multiple disparate sources of network events with multiple disparate types of events.

Systems and methods for network monitoring and testing using intelligent sequencing

Embodiments are directed to systems and methods for network monitoring and testing using a generic data mediation platform between one or more probes and one or more dashboards. The generic data mediation platform performs data correlation, filtering enrichment and aggregation of events obtained from monitored networks.

Systems and methods for network monitoring and testing using a generic data mediation platform

Embodiments emulate agents in a contact center, or enterprise, that initiate communication sessions to each other over communication networks and measure data quality using one or more metrics. That data measured can include voice and video data. Examples of communication networks used to place the voice calls include Internet Protocol (IP) networks and hybrid networks including more traditional telephony components. The data collected by the emulated agents is sent to a monitoring server. The monitoring server and the emulated agent behavior can be configured and scheduled via a web interface. In addition, the web interface provides the user with detailed reports, performance summaries, and visualizations of data collected, further enabling the user to troubleshoot a contact center or enterprise over a variety of communication networks.

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Methuen, MA, United States of America

Mark Figura