International Journal on Science and Technology

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Engaging Techniques for Effective Resource Allocation in Cloud Computing: Improving Performance, Availability, and Cost Management

Author(s) Vignesh Kuppa Amarnath
Country United States
Abstract Cloud computing has become fundamental to modern IT infrastructures, creating complex challenges in resource allocation that balance performance, availability, and cost management. This article explores engaging techniques for effective cloud resource allocation, examining intelligent scheduling algorithms, dynamic scaling mechanisms, and load balancing strategies that adapt to changing workloads. The discussion encompasses cost-aware provisioning methods including spot instances, reservation models, and resource pooling that minimize financial waste while maintaining service quality. Additionally, the article investigates how machine learning algorithms enable real-time optimization and how autonomic cloud management principles create self-regulating systems. The combination of these techniques forms a comprehensive framework for sustainable resource allocation that enhances performance, ensures high availability, and optimizes costs while addressing emerging challenges in increasingly heterogeneous and distributed cloud environments
Keywords Keywords: Cloud resource allocation, workload scheduling, auto-scaling, cost optimization, machine learning.
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-29
Cite This Engaging Techniques for Effective Resource Allocation in Cloud Computing: Improving Performance, Availability, and Cost Management - Vignesh Kuppa Amarnath - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2975
DOI https://doi.org/10.71097/IJSAT.v16.i1.2975
Short DOI https://doi.org/g899gz
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