Intraway QX Server is a centralized, cloud-based server that controls the probes deployed at various points throughout the network, collects measurements, processes information, presents it in real time, and generates valuable reports.
Intraway QX Smart Probe is a software application installed on a small device on the customer side, behind a CPE (Cable, DSL, FTTH, LTE, etc.) that emulates typical end-user behavior and measures dozens of KPIs for each different test category.
Probes are deployed across strategically defined network locations in order to generate representative measurements and collect the most value from the installed probes and collected data. Different technologies usually require specific distribution of probes.
Intraway QX Suite currently offers three different types of probes:
Small form factor PC whose aim is to test the entire customer experience focused mainly on video streaming measures. It assesses video not only at network transmission level but also analyzes the video playback itself. Used exclusively as a probing device.
Linux-based, customized home router designed to test most common QoS KPIs and video streaming at network transmission level. The router connects to the CPE (or accepts a 3G/4G USB dongle). Any other fixed connection on the home network must be connected behind the Router Probe.
Android-based application designed to evaluate mobile customer experience as well as the most common KPIs related to the mobile network quality and performance.
Intraway QX Suite offers a wide catalog of tests designed to provide the most complete Quality of Experience picture of your customers.
The suite provides an advanced video streaming testing algorithm for Netflix, YouTube, and Amazon Prime out-of-the-box test scripts, among others. It’s also fully compatible with OOKLA speedtest methodology and offers multiple built-in reliability tests for online gaming servers through its UDP performance tests. Other commonly used QoS KPIs are also provided.
For each KPI, different thresholds can be specified to provide color-coded alerts when bad measures are being registered.
The platform stores historical data in order to evaluate trends and differences between specific periods or network conditions after important changes.
Data Grouping Criteria
Several views are provided to evaluate measures based on the service plan, hour of the day or day of the week.
Peak/ Off-Peak Comparisons
Peak and off-peak hours are taken into account when evaluating measures, in order to better understand network behaviours during times of both high and low bandwidth usage.