Converged Network Visibility and Monitoring

Client

The client is a well-known Silicon Valley network monitoring company that was selected by a leading European Telecom to deliver an effective converged network measurement system.

Business Challenge

As a leading European telecom was rolling out new VoIP, video, and data services, it faced increasing customer complaints about quality and performance. Numerous traditional network visibility solutions in place were neither detecting the underlying causes nor tracing them back to individual endpoints and network segments.

To continue rolling out these innovative new services, the telecom needed a more effective converged network measurement system capable of addressing multiple challenges. Measuring VoIP and video quality necessitated real-time data collection directly from the endpoints, but with millions of endpoints in use, it is not practical to collect, store, and analyze all the information produced by the monitoring devices.

Statistical sampling or using synthetic sessions may lead to false negatives and give the provider an impression of normal performance. Having customer complaints as the first signal of poor performance was unacceptable.

Traditional network visibility solutions are not able to identify IP flow-based issues that cause poor quality and performance. Even when traditional monitoring could indicate network problems, there was no easy way to match up which VoIP calls and video streams were being impacted. Furthermore, IP metrics alone are not a proper quality indicator for video performance. An understanding of whether progressive or adaptive streaming is being utilized is critical to understanding the quality of experience (QoE).

Meeting the Challenge

DataArt was engaged to develop a highly scalable solution, capable of handling millions of sessions per day, that would be able to monitor and compute R-Factor (objective call quality) and QoE from centralized monitoring points. The solution integrated advanced network visibility solutions with real-time capabilities, enabling the telecom to proactively manage performance issues.

By developing signaling decoders for SIP, SCCP, H323, H225 RAS, Megaco, MGCP, UNIStim, and several video codecs, DataArt was able to reconstruct and match individual quality metrics and provide near real-time visibility for the telecom to proactively manage issues. For video services, DataArt developed new methods to determine the type of video streaming in use and relate the IP metrics to generate a realistic QoE result. The platform also incorporated advanced data analytics in telecom, analyzing massive volumes of data to detect patterns, anticipate issues, and optimize the network for better service delivery.

To store and process all of the information, DataArt developed an innovative method of storing data in the product databases. This solution effectively reduced write operations by a factor of 10X and decreased data retrieval time by 3X.

Business Benefits

DataArt’s converged network visibility solutions and monitoring capabilities enabled the telecom to:

Ensure quality of service and continue the rollout of their innovative offering
Increase customer acquisitions and retention
Promptly detect underperformance using real-time data analytics in telecom, avoiding negative impact on the business
Develop procedures to ensure the future health of the converged network
Comply with regulations relating to call quality
Decrease infrastructure costs by allowing the telecom to properly provision their network

By combining robust network visibility solutions with cutting-edge data analytics in telecom, DataArt empowered the telecom to enhance customer experiences, streamline operations, and solidify its position as a leader in the industry.

Technology

FreeBSD

Linux

MySQL

C++

Perl

Commercial VoIP monitoring components

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