HighSee unveils the End-To-End quality of
OTT Video Streaming, Cloud Games,
and Collaboration Tools

Gain network and user experience visibility for the most resource demanding services
even when encrypted

HighSee


HighSee is an Over-The-Top (OTT) application analyzer that assesses the Quality of Experience (QoE) and the Quality of Service (QoS) of the most prominent OTT application categories, such as Video Streaming, Cloud Gaming, and Collaboration Tools.

Thorough Subscriber Insight

HighSee analyzes user sessions for OTT Video Streaming, Cloud Gaming, and Collaboration Tools. It generates indicators on Service Utilization, Quality of Experience, Media, and detectes events that adversely impact the user experience, such as ‘freezes’ (video stalls), or poor ‘play start’ times. This information is crucial for telecom companies to proactively manage customer retention and monetization strategies.

End To End Analysis

Analytics applications processing HighSee session records can spot sessions that received poor Quality of Experience (QoE) and determine whether the problems are caused by media servers' performance or network behavior. With such information, Network operators can manage QoE levels for users' groups under specified contracts, Video Caching performance, and Service Level Agreements (SLAs) with OTT Providers.

Quality of Service (QoS) Management

HighSee provides comprehensive Quality of Service (QoS) measures for the client-server category of applications like OTT video over SSL/QUIC and the UDP/(S)RTP "peer-to-peer" streaming category, mainly used by gaming and video conferencing. By linking poor QoE to QoS, Network Operators can effectively manage QoS levels and network resources for each application and category, quickly closing gaps but avoiding excessive resource allocation.

Packet granularity for Precise Root Cause Analysis (RCA)

Short and sudden network impairments, such as burst packet losses or jitter hits, can impact applications like live streaming, video conferencing, and gaming. HighSee calculates indicators using each individual application packet, rather than relying on pre-aggregated or averaged counters. This approach prevents a loss of precision and facilitates Root Cause Analysis (RCA), ultimately reducing the Mean Time To Repair (MTTR).

Connecting the Dots: from QoE to Network Performances, and Vice-versa

Utilizing enriched session records obtained through control plane correlation, it becomes straightforward to identify the cells and devices contributing to poor Quality of Experience (QoE). Similarly, when starting from loaded cells, nodes, or devices, it’s easy to determine the impacts on the user QoE they serve.

Plug-in Solution

HighSee can be distributed as a Linux library with an API, making its integration a breeze. Alternatively, it can run as a stand-alone tool on standard x86 architecture, fed by probes or data brokers, ensuring a low resource footprint.

Use cases


CEM Proactive Customer Care

Reduce Churn and Retain Customers.
Proactive marketing actions for subscribers receiving poor service experience.

Service Assurance and Network Optimization

Optimize Costs.
Feed analytic tools that drive Zero Touch processes.
Evaluate Network Capacity (Cell, RAN, CORE) VS UX, Cache VS no Cache, 5G NSA VS SA.
Root cause of impairments impacting users.

Service Interconnection

Full visibility of the Video quality delivered.
First hand information to manage the relationship of TELCOs with CDN and Video Service Providers.