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Journal of Information and Optimization Sciences cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Open Access Research Article

Implementing machine learning for optimized resource allocation in cloud computing environments

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pp. 1791–1798Vol. 47Issue 5-AMay 2026DOI: 10.47974/JIOS-2270XML
Received:
01 Apr 2025
Published Online:
23 Apr 2026
Article type:
Research Article
Language:
EN
Article no.:
JIOS-2270
Pages:
1791–1798

Abstract

Self-driving cars need to learn how to drive in places that change all the time, like when the weather changes, the traffic patterns change, or the noise from sensors changes. RDS makes guidance more reliable and useful, which helps these cars get ready for and deal with these kinds of unknowns. These methods help self-driving cars get ready for problems, change their routes on the fly, and keep working well even when things go wrong. Compared to traditional methods, the results show improvements of up to 25% in utilisation, ~70% reduction in SLA violations, 23% lower energy consumption, and 24% lower cost. 

Keywords

Subject Classifications

46N1037N40

References

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