This patent covers the unique testing methodology used by the so-called MedUX Cloud Speed Test.

The Cloud Speed Test establishes multiple simultaneous connections when running, allowing us to fill the available bandwidth more easily. As the test progresses, more threads are dynamically opened by the client device, if required to measure the maximum speed more accurately.

The Cloud Speed Test is a multi-thread and multi-server download / upload speed test with detailed information for troubleshooting and optimization purposes.

The Cloud speed test results in an actual sustained download / upload speed defined as throughput, in Mbps, utilizing as many concurrent TCP connections as dynamically required and measured at a typically 20–25 second interval of a sustained data transfer.

Our Downlink (DL) Cloud speed test downloads a number of files over TCP from public sources, particularly CDN enhanced edge sources that are closer by nature to the customer and are independent of Telecom Operators or ISPs.

This patent covers the unique measurement methodology used by our MedUX HOME and MedUX MOBILE solutions for fixed and mobile broadband networks measurement and monitoring.

Measured technical characteristics describing communication of data via the communication channel provide real-time information from network performance and experience, based on active and passive measurements of our probes.

Our probes may be located in customer premises, enterprises, central local exchanges or intermediate network nodes, vehicles, strategic locations

Based on the received characteristics and information describing the users, the users’ perception and the testing environment, our MedUX ecosystem generates performance metrics associated with a set of users having one or more common characteristics.

MedUX Ecosystem estimates the benefits of technical improvements to one or more business attributes such as impact on user perception, increase in revenue or any other strategic attribute.

MedUX TV, our video evaluating device, is coupled to a video source, such as a set-top box, that obtains video data, and to a display device, such as a TV, that presents video data received from the set-top box.

MedUX TV applies Computer Vision, Artificial Intelligence (AI) and Machine Learning (ML) methods and models to a copy of the video data to generate metrics identifying quality of the video data and likely user interaction with the video data.

The video evaluation device generates the metrics describing the characteristics of the video data and user consumption without accessing the video data originally provided to the video source.

MedUX analyses availability, coherence and comprehensibility of the video service, three key attributes for the best in-class Quality of Experience

This establishes fundamental principles of quality management systems that help organizations to control and improve their performance and lead them towards efficiency, the excellence of the products and the optimization of the customer service.

A step forward in our commitment with the client, assuring that we are always focused on continuous improvement, innovation, quality and client satisfaction.