Author
Listed:
- Amirmohammad Parhizkar
(Department of Industrial Engineering, Tarbiat Modarres University, Tehran 14155-3961, Iran)
- Ehsan Arianyan
(ICT Research Institute, Tehran 14155-3961, Iran)
- Pejman Goudarzi
(ICT Research Institute, Tehran 14155-3961, Iran)
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.
Suggested Citation
Amirmohammad Parhizkar & Ehsan Arianyan & Pejman Goudarzi, 2026.
"Research on Intelligent Resource Management Solutions for Green Cloud Computing,"
Future Internet, MDPI, vol. 18(2), pages 1-39, February.
Handle:
RePEc:gam:jftint:v:18:y:2026:i:2:p:76-:d:1854276
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:18:y:2026:i:2:p:76-:d:1854276. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.