ENACT is pleased to announce the publication of a new open dataset in the project’s Zenodo community, providing telemetry data on resource utilization and power consumption across the Edge-Cloud Continuum. The dataset is openly available at https://zenodo.org/records/18920397.
The dataset is described in the paper “A Telemetry Dataset on Resource Utilisation and Power Consumption in the Edge-Cloud Continuum”, published in Data in Brief. The work presents telemetry metrics related to resource usage and energy behavior in an edge-cloud environment, supporting further research on monitoring, benchmarking, and optimization of distributed infrastructures.
This contribution is directly aligned with ENACT’s ambition to deliver breakthrough technologies for the Cognitive Computing Continuum, where applications, services, and data-intensive workloads must be managed across heterogeneous cloud, edge, and IoT resources. In this context, reliable telemetry is essential to understand how workloads behave, how resources are consumed, and how energy-related decisions can be incorporated into orchestration strategies.
The dataset was generated using ENACT’s Telemetry Data Collector and Monitoring Engine, capturing telemetry and energy-related metrics at node and pod levels. This granularity makes the dataset particularly relevant for researchers and developers working on energy-aware workload management, infrastructure monitoring, AI-driven orchestration, and performance modelling across the edge-cloud continuum.
Making this dataset openly available, ENACT aims to support experimentation and reuse beyond the project itself. The dataset can be used to explore practical questions around sustainable cloud-edge computing, telemetry analysis, benchmarking, and the development of models capable of supporting more adaptive and efficient distributed infrastructures.
Open datasets such as this one also strengthen transparency and reproducibility in research. They provide a common basis for testing approaches, comparing results, and building evidence around how future computing environments can better balance performance, energy consumption, cost, and sustainability. For ENACT, this publication represents another step towards turning project results into accessible and reusable assets for the wider research and innovation community.
If you are using this dataset, please cite:
Kapetanidou, Ioanna Angeliki, Thanasis Kotsiopoulos, Giorgos Thanasoulis, Paschalis Bizopoulos, Athanasios Liatifis, Manolis Skoularikis, Alexandros Nizamis, Panagiotis Sarigiannidis, and Konstantinos Votis. “A Telemetry Dataset on Resource Utilisation and Power Consumption in the Edge-Cloud Continuum.” Data in Brief (2026): 112734.