Journal



Frequency: Quarterly

ISSN (Online) : 2788-7669

ISSN (Print) : 2789-1801




Journal of Machine and Computing

Efficient Resource Allocation in Cloud Environment: A Hybrid Circle Chaotic Genetic Osprey Solution



Journal of Machine and Computing

Received On : 10 May 2024

Revised On : 02 October 2024

Accepted On : 15 November 2024

Volume 05, Issue 01


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Abstract

Organizations and individuals now access and use computing resources in a completely new way due to cloud computing. However, efficient resource allocation remains a significant challenge in cloud environments. Existing techniques, such as static, dynamic, heuristic, and meta-heuristic, often lead to locally optimal solutions, suffering from slow convergence rates that hinder the achievement of global optimality. To address this challenge, this paper presents a novel Hybrid Circle Chaotic Genetic Osprey Optimization Algorithm (HC2GOO). This innovative approach synergizes the strengths of the Osprey Optimization Algorithm (O2A) and Genetic Algorithm (GA) to significantly enhance resource allocation efficiency in cloud environments. The HC2GOO incorporates a circle chaotic map to replace the random initialization values in the Osprey population update phase. Furthermore, the integration of the GA effectively balances the exploration and exploitation processes of the osprey optimization, facilitating the discovery of optimal solutions. The effectiveness of the HC2GOO algorithm is assessed using the GWA-T-12 Bitbrains dataset and is benchmarked against established algorithms. The results indicate that HC2GOO outperforms existing methods, achieving significant improvements in key performance indicators: energy consumption (36 kWh), host utilization (13,800), SLA violations (7.2), average execution time (16.2 ms), service cost ($12.5), number of migrations (3,050), and throughput (28.6%) based on 100VMs. Overall, the HC2GOO algorithm represents a substantial advancement in the field of cloud resource allocation, offering more effective solutions for optimizing computing resource management.


Keywords

Circle Chaotic, Cloud Computing, Genetic Algorithm, Internet, Optimization, Osprey Optimization, Resource Allocation, Service Level Agreement (SLA).


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Rajgopal K. T, Manoj T. Gadiyar H, Nagesh Shenoy H and Goudar R H, “Efficient Resource Allocation in Cloud Environment: A Hybrid Circle Chaotic Genetic Osprey Solution”, Journal of Machine and Computing. doi: 10.53759/7669/jmc202505021.


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© 2025 Rajgopal K. T, Manoj T. Gadiyar H, Nagesh Shenoy H and Goudar R H. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


                            

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