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Decentralized dynamic load balancing for virtual machines in cloud computing: a blockchain-enabled system with state channel optimization

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Abstract

This paper introduces an innovative load balancing algorithm that utilizes blockchain-enabled cloud computing environments. The proposed scheme leverages blockchain technology's decentralized architecture to dynamically and efficiently distribute workloads across virtual machines (VMs). This approach optimizes resource utilization and enhances the performance of cloud services. By integrating smart contracts and employing a meticulous VM selection process, our method effectively addresses the challenges associated with traditional load balancing techniques, which often struggle to adapt to dynamic, heterogeneous workloads. Furthermore, our algorithm promotes transparency and security in task allocation and execution, capitalizing on blockchain's inherent features of immutability and consensus. The effectiveness of the proposed scheme is demonstrated through rigorous simulation using the CloudSim toolkit, showcasing significant improvements over existing methods in terms of makespan, execution time, resource utilization, and throughput. These results underline the potential of our proposed solution to revolutionize cloud computing infrastructure management, making it more adaptable, efficient, and resilient to varying computing demands.

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Authors and Affiliations

  1. Anna University Regional Campus, Tirunelveli, India

    J. Roselin & Israelin J. Insulata

Authors
  1. J. Roselin
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  2. Israelin J. Insulata
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Contributions

JR and JII are the authors of the manuscript, drafting sections related to the introduction, methodology, results, and discussion. JR provided the foundational conceptual framework and strategic guidance for integrating blockchain technology with load balancing techniques. Her insights were pivotal in shaping the direction of the research. She supervised the development of the methodology, ensuring that the proposed approaches were robust, innovative, and aligned with current advancements in cloud computing and blockchain technology. She provided critical feedback and support, fostering a rigorous and comprehensive research process. She reviewed and edited the manuscript, ensuring the academic rigor, clarity, and coherence of the research narrative. Her feedback was essential in refining the research findings and their presentation. JII implemented and refined the algorithms for task validation, VM selection, and task prioritization, optimizing them for efficiency and performance. She conducted extensive simulations using the CloudSim toolkit, analyzing the performance of the proposed scheme against existing methods. Her work demonstrated significant improvements in makespan, execution time, resource utilization, and throughput. She meticulously documented the results, ensuring their accuracy and reliability. She conducted a comprehensive literature review, identifying gaps in existing research and positioning the proposed scheme within the broader context of cloud computing and blockchain technology.

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Correspondence to J. Roselin.

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Roselin, J., Insulata, I.J. Decentralized dynamic load balancing for virtual machines in cloud computing: a blockchain-enabled system with state channel optimization. J Supercomput 81, 469 (2025). https://doi.org/10.1007/s11227-025-06922-7

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  • DOI: https://doi.org/10.1007/s11227-025-06922-7

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