alladin Nettest

June 11, 2024

This update includes: - New measurement methodology with jitter and packet loss metrics - 5G support - Improved UI with dark mode - performance and stability improvements

August 18, 2021

- Adds indoor/outdoor classification - Improves UI on iOS 13 - Stability improvements and bugfixes

May 23, 2018

This app has been updated by Apple to display the Apple Watch app icon. - Adds Measurement-Kit tests (NDT, MPEG-DASH streaming test, Facebook Messenger, Whatsapp, Telegram, and more) - Adds possibility enable and disable QoS measurement types in settings - Bugfixes and stability improvements

May 4, 2018

- Adds website rendering QoS test implementation - Improves general stability and when testing under bad network conditions - Fixes a rare crash on older 32bit devices - Adds links to system settings

December 5, 2017

New in this version of alladin Nettest: + New measurement gauge + Better iOS 11 support + Improved detail result design

May 22, 2017

The alladin Nettest (https://alladin.at) is the first and only independent, crowd-sourced, open-source and open-data based solution. • Generates and processes all results objectively, securely and transparently • Tests 150+ parameters: speed, QoS & QoE • Enables drive tests. Optional hardware-integration • 100% compliant to BEREC (EU), ETSI/ITU-T standards and to TK-TVO (DE). Our solution is more than the solution of choice among our customers: universities and international research projects increasingly use our published code as a basis and benchmark for research in the field of data transmission quality. Transparency and expertise are the template on which we base our work and development. Further qualities of the alladin Nettest are: Accurate Our measurement algorithm was developed by our network experts together with government technology specialists from mobile and fixed network communications. The measurement hypotheses were iteratively falsified and/or finally verified in the laboratory under simulated network conditions. This generally formulated method of measurement is equally reliable in testing variable, slow wireless connections and stable broadband connections. It maps the typical usage behaviour of an end user in terms of monitoring period, packet size, number of threads etc. Comprehensive Our Nettest evaluates all the currently available Internet usage scenarios as a whole in one piece of software. This includes the usual measurements such as signal, bandwidth, latency or packet loss, but focuses particularly on parameters regarding network neutrality and quality of service. It measures how the end user experiences the quality of his personal Internet usage. A good signal is no guarantee of high speed. High speed is no guarantee of constant video transmission - and consequently no guarantee of user satisfaction either. QoE can only be described quantitatively by means of extensive QoS measurements. Mapped By default we use Google Maps with reduced colour spectrum as a basic map. Semi-transparent layers (Google Layers) are placed on top of them to show the points and the heat map. The heat map depicts available services such as e.g. download speed by means of two dimensions: colour and transparency. The colour defines the range of values. The transparency aggregates the number of measurements at a particular map point. The significance of the monitored service is presented and evaluated by this means. By selecting the zoom level and filter, a new heat map is generated using the PostGIS/PostgreSQL database. Our caching system guarantees prompt delivery of the map tiles. Open In our opinion, the most important aspect of a measurement tool is the credibility of the results. This is why we opted for open source as the most direct and most transparent type of documentation. This is the only way the functioning of the method of measurement can be verified comprehensibly and objectively. We also publish all the measurement results as open data - respecting protection of privacy, of course. Reliable The reliability of (aggregated) statistical evaluations depends primarily on the quality of each individual measurement result. Our quality control is fully automated and is achieved by comparison of parts of a measurement and cross-comparison with different measurements. The testing system is designed to be adaptive, i.e. once identified; irregularities are automatically identified if they occur subsequently. Measurements identified as anomalies are not censored, of course. Significant Uploading and downloading are measured, as are all the relevant parameters for monitoring network quality, such as latency, packet variance, jitter, packet loss etc. Furthermore, our Nettest processes all the important meta-information which describes the context of a measurement. Only by this means can measurement results be tested and validated thoroughly for significance and reliability.

May 6, 2017