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Optimizing Resource Allocation in Hybrid Cloud: Cost and Performance Efficiency

Author(s) Chandra Prakash Singh
Country United States
Abstract The hybrid cloud model combines the benefits of public and private cloud environments, offering scalability, flexibility, and cost-effectiveness. However, efficient resource allocation remains a critical challenge due to the complexity of managing disparate environments and diverse workloads. This white paper explores advanced techniques for optimizing resource allocation in hybrid cloud systems, focusing on achieving cost efficiency and enhanced performance. By leveraging machine learning algorithms, workload profiling, and predictive analytics, businesses can ensure optimal utilization of resources while maintaining service-level agreements (SLAs). This paper also discusses practical strategies, tools, and best practices to address common challenges in hybrid cloud environments.
Keywords Hybrid Cloud, Resource Allocation, Cost Efficiency, Performance Optimization, Scalability, Workload Profiling, Predictive Analytics, Machine Learning, Service-Level Agreements, Cloud Management
Field Engineering
Published In Volume 3, Issue 11, November 2022
Published On 2022-11-01
Cite This Optimizing Resource Allocation in Hybrid Cloud: Cost and Performance Efficiency - Chandra Prakash Singh - IJLRP Volume 3, Issue 11, November 2022. DOI 10.5281/zenodo.14646872
DOI https://doi.org/10.5281/zenodo.14646872
Short DOI https://doi.org/g8zr8m
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