Qosium’s real-time results data is uniquely precise, making it a trusted tool even in academic research. Results are collected bidirectionally, allowing separate assessment of sent and received traffic. While typically analyzed as averages, data can be drilled down to the packet level when needed. When location data is available, results can be visualized as striking QoS heatmaps.
Qosium’s most commonly used QoS statistics include:
- Packet loss
- Delay (latency)
- Jitter (delay variation)
- Connection break statistics
Qosium also visualizes traffic statistics from any remote point, such as:
- Load
- Data volume
- Packet sizes
For wireless networks, Qosium collects radio interface statistics, helping quickly identify issues, such as which cell a device was connected to when a problem occurred and whether the signal was strong enough.
The flow analyzer reveals the characteristics of traffic passing through a measurement point. Classifying flows enables grouping traffic and easily detecting new or unknown traffic.
Real-time assessment of QoE is essential for network monitoring. A single metric shows whether performance meets the needs of applications, services, and devices using the network. Qosium includes user-tested, scientifically validated service experience models. Additionally, a flexible model allows customization for any application’s QoE evaluation.