Exploratory Data Analysis in Cloud Computing Environments for Server Consolidation via Fuzzy Classification Models

Rafael Bastos, Vagner Seibert, Giovani Maia, Bruno P. de Moura, Giancarlo Lucca, Adenauer Yamin, Renata Reiser

2024

Abstract

The present work addresses the challenges of flexible resource management in Cloud Computing, emphasizing the critical need for efficient resource utilization. Precisely, we tackle the problem of dynamic server consolidation, supported by the capacity of Fuzzy Logic to deal with uncertainties and imprecisions inherent in cloud environments. In the preprocessing step, we employ a feature selection strategy to perform attribute selection and, better understand the problem. Data classification was performed by fuzzy rule learning approaches. Comparative evaluations of algorithm classification highlight the remarkable accuracy of FURIA, with IVTURS as a close alternative. While FURIA generates 41 rules, indicating a comprehensive model, IVTURS produces only six, introducing an abstract level to model uncertainties as interval-valued fuzzy membership degrees. The study underscores the relevance of parameter adaptation in mapping feature selection and membership functions to achieve optimal performance for flexible algorithms in the Cloud Computing environment. Our results underlie the structure of a fuzzy system adapted to CloudSim, integrating energy optimization and Service Level Agreements assurance through different server consolidation strategies. This research contributes valuable perspectives to decision-making processes in the Cloud Computing environment.

Paper Citation

in Harvard Style

Bastos R., Seibert V., Maia G., P. de Moura B., Lucca G., Yamin A. and Reiser R. (2024). Exploratory Data Analysis in Cloud Computing Environments for Server Consolidation via Fuzzy Classification Models. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7, SciTePress, pages 636-643. DOI: 10.5220/0012615900003690

in Bibtex Style

@conference{iceis24,
author={Rafael Bastos and Vagner Seibert and Giovani Maia and Bruno P. de Moura and Giancarlo Lucca and Adenauer Yamin and Renata Reiser},
title={Exploratory Data Analysis in Cloud Computing Environments for Server Consolidation via Fuzzy Classification Models},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={636-643},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012615900003690},
isbn={978-989-758-692-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Exploratory Data Analysis in Cloud Computing Environments for Server Consolidation via Fuzzy Classification Models
SN - 978-989-758-692-7
AU - Bastos R.
AU - Seibert V.
AU - Maia G.
AU - P. de Moura B.
AU - Lucca G.
AU - Yamin A.
AU - Reiser R.
PY - 2024
SP - 636
EP - 643
DO - 10.5220/0012615900003690
PB - SciTePress