Data Rate Performance Measurements for NFV Cloud Native Media Application Scaling

A dataset accompanying a paper on a 3GPP-compliant service-based architecture platform for cloud-native orchestration in a media vertical. The discussion is motivated by a customer-facing trial conducted in Bristol, UK, where the platform was deployed as virtual network functions. Three scaling scenarios are described: a baseline case, a static horizontally scaled-out service, and a dynamically-managed horizontal scaling case.

Use Cases

• Benchmarking data rate performance based on the described NFV scaling scenarios.
• Analyzing QoS metrics for dynamic service instance management mentioned in the description.
• Comparing hosting costs and user experience trade-offs between static and dynamic edge scaling strategies.
• Modeling network resource allocation for media applications under varying demand.

Strengths

• Dataset is linked to a specific academic paper and a real-world trial in Bristol, UK.
• Description details three concrete performance scenarios (baseline, static scaling, dynamic scaling) for analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Southampton, author P. Melas, via paperswithcode.

Collection Method

Likely contains experimental measurements from a platform trial.

Geography

Trial conducted in Bristol, UK.