What does a MOS of x mean…? Interpreting the MOS in real-world terms

Illustration: Know what your users see.

Networks can behave like humans: Sometimes they have a shiny great day and everything works like a charm – and sometimes they feel tired and are soooo slow. Usually when humans get tired, they need a rest from the hard work they did. Networks don’t have that luxury. Under stress, they greet us with loading spinners, rotating hourglasses or just a simple “the service you are calling is not available” message in the browser. How can you, as a network operator, make the right decisions and make networks more resilient against packet loss or jitter, inefficient routing and transmission delays. And how do you pre-emptively solve customer complaints? The answer is: continuous quality monitoring. For video, web browsing, or other OTT apps like conferencing services.

But all the best data is not useful if you can’t make sense of the numbers you’re seeing. So in this article, we want to go deeper and explain how you can understand the data from the monitoring itself. In particular, the Mean Opinion Score.

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Measuring CDN Performance with Surfmeter’s New CDN Analysis Tool

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Seamless web browsing isn’t just a convenience; it’s a fundamental expectation by end-users in our connected world. For Internet Service Providers (ISPs) and network operators, delivering a fast, responsive online experience is important to customer satisfaction and retention. When web pages lag or videos buffer endlessly, subscribers don’t just get frustrated—they start looking for alternatives.

But here’s the challenge: a modern webpage is rarely a single, monolithic entity. It’s a complex set of content delivered by multiple sources. Your favorite news sites, shopping platform, or streaming service likely pulls in text, images, scripts, and video from various Content Delivery Networks (CDNs), each optimized for different types of content or geographic regions. The overall loading performance and the perceived user experience depend on the coordinated delivery from all these CDNs. If even one of them fails, the entire experience can suffer.

At AVEQ, we’re constantly pushing the R&D envelope to give you deeper, more actionable insights into this aspect. That’s why we’re thrilled to roll out a powerful new CDN analysis feature within our Surfmeter platform, designed to help you diagnose and tackle these very challenges head-on. Read on to find out more!

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AVEQ Opens Up: Surfmeter Documentation Now Public

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We’re happy to announce that we’ve taken a significant step forward in our transparency and ease-of-use by opening up our Surfmeter documentation to the public. We want to provide comprehensive, accessible information about our video streaming (and network performance) monitoring solutions, and you should be able to read it without signing a non-disclosure agreement or going through multiple sales calls. Read on to find out more.

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Modernizing Our Video Analytics Stack: From Rails to Node.js

We recently completed a significant migration of our Surfmeter Client Analytics backend from Ruby on Rails and Postgres to a modern Node.js-based architecture based on Express and BullMQ. Here’s how we approached this migration and what we learned along the way. We hope this blog post will be useful to others who are considering a similar migration!

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How Does WiFi Energy Use Affect Streaming Quality?

If you are using somewhat modern WiFi equipment, you will probably have an option to turn on an “eco” mode. These settings promise to save power at the expense of network speed. But how much does that affect the actual speed and application performance? Luckily, we have our Surfmeter probes to find out. Turns out that the impact can be quite significant. Read on to see how we can accurately measure the impact of power-saving settings on the end user experience!

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P.1203 Extended: Our Ultimate Video Quality Measurement Model

In this blog post we would like to introduce ITU-T P.1203, a state-of-the-art video quality measurement model, and our improved variant, which we call P.1203 Extended. We will illustrate the improved aspects of P.1203 Extended, and how it compares to the core standard in terms of video codec support, resolution, accuracy and so on, and discuss why one might choose the upgraded version over the first one.

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Surfmeter for iOS — Video Measurement Support for Apple Devices

In today’s digital era, video streaming on mobile devices is at an all-time high. To meet the increasing demand for seamless streaming on smartphones and tablets, robust tools for optimal video quality are essential. We are excited to announce that our Surfmeter platform now supports AVPlayer for iOS 15 and higher. This expansion brings the powerful video streaming analytics and quality testing capabilities enjoyed by our Android users to iOS, allowing for easy measurement and analysis of video quality on iOS devices

Our iOS variant supports two main use cases, all within one SDK. Read on to find out more!

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Video Quality Models and Measurements — An Overview

You’re probably here because you have worked with video in one way or another. Maybe you are creating video and encode it for later distribution, or maybe you operate a network that handles video — and in that case, probably a lot of it. The quality of videos is one of the most important factors that determines the overall user experience (and the Quality of Experience, QoE) of a video-based application or service. So it’s only natural that you want to measure and optimize the quality of your videos. In this blog post, we will discuss the different ways to measure video quality — both objectively and subjectively — and how to use these measurements to optimize the quality of your videos.

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