Proceedings of the First International Conference on Artificial Intelligence, Smart Technologies and Communications (AISTC 2025)

Energy-Aware Task Scheduling and Resource Allocation in Cloud Computing

Authors
Yamina Mehor1, *, Mohammed Rebbah1, Omar Smail1
1LISYS Laboratory, Computer Science Department, University of Mustapha Stambouli Mascara, Mascara, Algeria
*Corresponding author. Email: yamina.mehor@univ-mascara.dz
Corresponding Author
Yamina Mehor
Available Online 5 August 2025.
DOI
10.2991/978-94-6463-805-9_29How to use a DOI?
Keywords
Cloud computing; energy usage; task scheduling; resource allocation
Abstract

Cloud computing is essential for modern technology. Resource allocation and task scheduling are critical parts of cloud computing. A novel task scheduling and VM allocation (TSVMP) in cloud computing are proposed to reduce energy and resource consumption. Task scheduling and VM allocation compose the TSVMP. The simulation results indicate that TSVMP achieves improved overall results in terms of reducing the data center’s energy and resource consumption.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First International Conference on Artificial Intelligence, Smart Technologies and Communications (AISTC 2025)
Series
Advances in Intelligent Systems Research
Publication Date
5 August 2025
ISBN
978-94-6463-805-9
ISSN
1951-6851
DOI
10.2991/978-94-6463-805-9_29How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yamina Mehor
AU  - Mohammed Rebbah
AU  - Omar Smail
PY  - 2025
DA  - 2025/08/05
TI  - Energy-Aware Task Scheduling and Resource Allocation in Cloud Computing
BT  - Proceedings of the First International Conference on Artificial Intelligence, Smart Technologies and Communications (AISTC 2025)
PB  - Atlantis Press
SP  - 258
EP  - 263
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-805-9_29
DO  - 10.2991/978-94-6463-805-9_29
ID  - Mehor2025
ER  -