JDSU Introduces the Unique Ability to Monitor Ethernet Network Performance using Live Traffic

Live traffic monitoring trumps synthetic modeling and enables better network quality of service control

February 23, 2015 — JDSU today announced the reinvention of Ethernet assurance with the industry’s first scalable, real-time Ethernet network performance monitoring and problem-segmentation solution. Previously, service providers monitored network performance anomalies with solutions using synthetic traffic generated at a specific point in time that may or may not reflect the issues experienced in live customer traffic.

This JDSU solution has already received market validation through its recent selection by a major global mobile operator to improve their network quality of service (QoS).

The JDSU live-traffic-based performance monitoring solution, using network traffic intelligence enabled by PacketPortal, empowers service providers with the intelligence necessary to better control their network QoS. It also helps to manage backhaul costs and operates with an end-to-end view of traffic-based network and application performance with segmented hop-by-hop performance metrics as well as on-demand packet capture.


  • Remotely perform segmented fault isolation so specialists can quickly isolate the specific problematic path, technology, or vendor
  • Control costs through more targeted network build-outs and decisions
  • Understand signaling spikes that can overwhelm capacity, overload servers, and impact customer experience
  • Find customer-experience-impacting bursts that are invisible and under-sampled when using traditional, standards-based, periodic, active performance monitoring

JDSU live-traffic-based performance monitoring extends the EtherASSURE™ solution, which includes turn-up and performance monitoring software, QT-600 test head(s), PacketPortal® JMEP end points and PacketPortal IV (Intelligence Visibility) microprobes. It also enhances the xSIGHT™ customer experience assurance solution helping operators quickly understand how backhaul network performance impacts customer experience.