Published January 30, 2026
| Version v1
Dataset
Open
Replication Data: Evaluating 5G-connected IoT for Power Line Temperature Prediction: Real-World Latency and Cost Trade-offs Between MEC and Cloud
Authors/Creators
-
1.
UiT The Arctic University of Norway
-
2.
Telenor (Norway)
Description
Replication data for the paper titled Evaluating 5G-connected IoT for Power Line Temperature Prediction: Real-World Latency and Cost Trade-offs Between MEC and Cloud presented at the 8th International Workshop on Recent Advances for Multi-Clouds and Mobile Edge Computing (M2EC 2026) held in conjunction with the 40th International Conference on Advanced Information Networking and Applications (AINA 2026). April 8-10, 2026 in Wellington, New Zealand.
Table 2: P99 Tail Latency by Cloud Region and Client Location
Note: The measurement at (9388, Fjordgård) was conducted over an optical fiber connection rather than 5G.
| Location | Metric | SE-Central | NO-East | NO-West | Edge / MEC |
|---|---|---|---|---|---|
| 9131, Kårvik | Number of measurements | 71972 | 72411 | 72172 | - |
| Overall P99 (ms) | 677.35 | 662.59 | 672.25 | - | |
| Mean hourly P99 (ms) | 664.14 | 650.38 | 657.49 | - | |
| Max hourly P99 (ms) | 1082.88 | 994.31 | 1006.69 | - | |
| P99 volatility (CV) | 0.215 | 0.192 | 0.203 | - | |
| 9019, Tromsø | Number of measurements | 80342 | 81290 | 81287 | - |
| Overall P99 (ms) | 111.45 | 83.98 | 84.52 | - | |
| Mean hourly P99 (ms) | 101.54 | 76.34 | 77.04 | - | |
| Max hourly P99 (ms) | 121.23 | 91.69 | 92.37 | - | |
| P99 volatility (CV) | 0.132 | 0.099 | 0.089 | - | |
| 0366, Oslo | Number of measurements | 82233 | 82885 | 82882 | - |
| Overall P99 (ms) | 85.64 | 58.45 | 58.55 | - | |
| Mean hourly P99 (ms) | 75.26 | 56.48 | 55.52 | - | |
| Max hourly P99 (ms) | 97.49 | 65.34 | 62.57 | - | |
| P99 volatility (CV) | 0.201 | 0.056 | 0.055 | - | |
| 1360, Fornebu | Number of measurements | 81292 | 81789 | 82046 | 82078 |
| Overall P99 (ms) | 78.49 | 47.69 | 48.80 | 44.62 | |
| Mean hourly P99 (ms) | 75.36 | 47.74 | 47.93 | 44.83 | |
| Max hourly P99 (ms) | 83.07 | 50.66 | 55.46 | 46.41 | |
| P99 volatility (CV) | 0.088 | 0.028 | 0.075 | 0.021 | |
| 9388, Fjordgård | Number of measurements | 82829 | 83430 | 82922 | - |
| Overall P99 (ms) | 47.75 | 36.71 | 43.94 | - | |
| Mean hourly P99 (ms) | 47.75 | 36.72 | 43.85 | - | |
| Max hourly P99 (ms) | 65.19 | 39.03 | 47.11 | - | |
| P99 volatility (CV) | 0.082 | 0.018 | 0.027 | - |
Files
data.zip
Additional details
Funding
Software
- Programming language
- Python