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  Authors

Vignesh S,Umadevi Ramamoorthy

  Keywords

Cloud orchestration, adaptive scheduling, SLA-aware systems, machine learning, real-time provisioning, multi-cloud computing, cost-effective resource allocation, and workload prediction.

  Abstract


In contemporary cloud computing settings, companies usually find it difficult to strike a compromise between operating expenses and performance requirements, particularly when allocating resources across several cloud service providers. Due to their inability to adjust to real-time workload variations and dynamic pricing models, static resource allocation schemes frequently result in underutilization or overspending. The adaptive, economical multi-cloud resource allocation approach suggested by this study is powered by workload monitoring and clever prediction algorithms. The strategy makes use of real-time decision-making, container orchestration, and SLA-aware scheduling to guarantee the best possible work allocation. In a broker-based framework, supplier offerings are dynamically compared, and resources are shifted according to cost-performance trade-offs. The system incorporates machine learning models for demand forecasting and validates its scalability using simulations based on Python. The approach uses real-time provisioning adjustments through pricing prediction and reinforcement learning for workload assignment. Achieving up to 30% savings in cloud costs while preserving service quality. The paper emphasizes the possibility of intelligent automation in multi-cloud and hybrid infrastructure management. It provides businesses with a scalable way to lower operating expenses while satisfying changing customer needs.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2507535

  Paper ID - 291409

  Author type - Indian Author

  Page Number(s) - e627-e634

  Pubished in - Volume 13 | Issue 7 | July 2025

  DOI (Digital Object Identifier) -   

  No Of Downloads - 87

  Author Country - India, 560016, Banglore, Banglore, 560016, Science All

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2507535

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2507535

  Published Paper PDF Downlaod: - download.php?file=IJCRT2507535

  Cite this article

Vignesh S,Umadevi Ramamoorthy,   "Cost-Effective Resource Allocation Techniques for Flexible Management in Multi-Cloud Environments", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 7, pp.e627-e634, July 2025, Available at :http://www.ijcrt.org/papers/IJCRT2507535.pdf

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