Master's Thesis: Latency Measurements for VNFs in a 5G Smart Grid Testbed

Measurement data from a master's thesis experiment deploying latency-critical Virtual Network Functions for resilient smart grid functions in a 5G edge cloud environment. The data was captured in the Smart Grid Laboratory of SINTEF at NTNU, using packet captures at multiple points in a testbed with four physical servers. Raw PCAP files were parsed to CSV for processing using Python.

Use Cases

• Analyzing end-to-end latency for smart grid communications based on distributed timestamping described in the methodology.
• Modeling the performance of Virtual Network Functions (VNFs) like PMUs and PDCs based on the experimental setup details.
• Benchmarking packet traversal times in a 5G system based on captures at server ingress and egress points.
• Studying the impact of network orchestration using Ansible on experiment reproducibility as mentioned in the description.

Strengths

• Data collection method facilitated distributed timestamping for calculating both end-to-end and decomposed metrics.
• Experimental setup is described in detail, involving four physical servers and a 5G system built with srsRAN and Open5GS.
• Raw measurements were stored as PCAP files and parsed to CSV, suggesting a structured processing pipeline.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is tied to a specific academic thesis experiment, which may limit generalizability.

Provenance

Source

Master's thesis by Håkon Segrem Grue, conducted at the Smart Grid Laboratory of SINTEF at NTNU.

Collection Method

Packets were captured using tcpdump at multiple server interfaces in a controlled lab testbed; data was processed using Python.

Freshness

Last updated 2026-07-05 10:10:31; freshness should be verified.