A Framework for Real-Time Monitoring of Power Consumption of Distributed Calculation on Computational Cluster

Adam Krechowicz

2025

Abstract

This paper proposes a framework for real-time monitoring of the power consumption of distributed calculation on the nodes of the cluster. The framework allows to visualize and analyze the provider results based on the context information about the performed calculation. The first part of the framework is devoted to monitoring the power consumption during the execution of machine learning algorithms and the performance of NoSQL storage. The second part is dedicated to the testing of distributed data storage, called Scalable Distributed Two–Layered Data Structure (SD2DS). The results show that the framework can be used in the development of a management system that could schedule computations to take full advantage of renewable energy.

Paper Citation

in Harvard Style

Krechowicz A. (2025). A Framework for Real-Time Monitoring of Power Consumption of Distributed Calculation on Computational Cluster. In Proceedings of the 15th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER; ISBN 978-989-758-747-4, SciTePress, pages 264-271. DOI: 10.5220/0013471500003950

in Bibtex Style

@conference{closer25,
author={Adam Krechowicz},
title={A Framework for Real-Time Monitoring of Power Consumption of Distributed Calculation on Computational Cluster},
booktitle={Proceedings of the 15th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER},
year={2025},
pages={264-271},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013471500003950},
isbn={978-989-758-747-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER
TI - A Framework for Real-Time Monitoring of Power Consumption of Distributed Calculation on Computational Cluster
SN - 978-989-758-747-4
AU - Krechowicz A.
PY - 2025
SP - 264
EP - 271
DO - 10.5220/0013471500003950
PB - SciTePress