Research on Intelligent Resource Management Solutions for Green Cloud Computing

Cloud computing utilization has experienced progressive expansion over the last decade, which has raised concerns and challenges regarding efficient resource allocation and energy efficiency. The burgeoning increase in the number of cloud computing users and their data exacerbates the difficulty of resolving these challenges using conventional methods. Thus, utilizing intelligent approaches is indispensable. Among the most recent intelligent methods, artificial intelligence-based techniques have gained prominence across numerous research domains, including cloud resource management. Through a literature review aimed at analyzing existing studies addressing the open challenges of cloud computing, we have identified some gaps that are presented in this paper. Moreover, this paper presents a survey on cloud resource management solutions spanning from 2018 to 2025, with a focus on the papers that utilized intelligent methodologies for green computing. More specifically, this study shed light on the prevailing challenges in the field concerning methods, research areas, metrics, tools, and datasets. Furthermore, it provides a clear classification of methods, research areas, and metrics.

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Publication Details

Journal
Future Internet
Published
2026-02-01
DOI
https://doi.org/10.3390/fi18020076
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Intelligent Resource Management Solutions for Green Cloud Computing

Ehsan Arianyan, Pejman Goudarzi, A Parhizkar
Future Internet
Cloud Computing and Resource Management
article

Research on Intelligent Resource Management Solutions for Green Cloud Computing

Ehsan Arianyan, Pejman Goudarzi, A Parhizkar
article en

Abstract

Cloud computing utilization has experienced progressive expansion over the last decade, which has raised concerns and challenges regarding efficient resource allocation and energy efficiency. The burgeoning increase in the number of cloud computing users and their data exacerbates the difficulty of resolving these challenges using conventional methods. Thus, utilizing intelligent approaches is indispensable. Among the most recent intelligent methods, artificial intelligence-based techniques have gained prominence across numerous research domains, including cloud resource management. Through a literature review aimed at analyzing existing studies addressing the open challenges of cloud computing, we have identified some gaps that are presented in this paper. Moreover, this paper presents a survey on cloud resource management solutions spanning from 2018 to 2025, with a focus on the papers that utilized intelligent methodologies for green computing. More specifically, this study shed light on the prevailing challenges in the field concerning methods, research areas, metrics, tools, and datasets. Furthermore, it provides a clear classification of methods, research areas, and metrics.

Future InternetVol. 18(2)
Tarbiat Modares University (IR), ICT Research Institute (IR)
Openalex Percentile: Top 79%
Cloud Computing and Resource Management
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Research on Intelligent Resource Management Solutions for Green Cloud Computing — Ehsan Arianyan, Pejman Goudarzi, et al. · Future Internet (2026) | TGRS Research Map | TGRS