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<p>Blockchain technology holds immense transformative potential but often faces significant scalability issues that impede its broader adoption. This study introduces a novel strategy to enhance blockchain scalability through optimized Load Balancing (LB), achieved by distributing nodes across shards using a customized M/M/k queuing model. The proposed method employs distinct distribution mechanisms for incoming and outgoing queries, ensuring balanced processing, reducing idle time, and improving network traffic management. By distributing workloads efficiently across shards, the approach minimizes bottlenecks, decreases query processing time, boosts transaction throughput, and enhances overall network performance. This solution offers a foundation for deploying scalable, reliable and high-performance blockchain systems applicable to several real-world scenarios, including e-commerce platforms, the gaming sector, educational credential verification, and cross-border payments. To validate the efficacy of the proposed approach, extensive performance comparisons were conducted against traditional LB techniques such as Round-Robin (RR), Least Connection (LC), Weighted Round Robin (WRR), and Weighted least Connection (WLC). It is inferred that the proposed system is more scalable and there is better load distribution than previously existing techniques. This research advocates for adopting the optimized LB strategy to develop scalable and resilient blockchain systems, fostering advancements in diverse industries.</p>

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Efficient shard load balancing for scalable blockchain systems

  • 期刊论文

  • 发表日期：

    2025年8月19日

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  • Fahad Rahman,
  • Chafiq Titouna,
  • Farid Naït-Abdesselam

摘要

Blockchain technology holds immense transformative potential but often faces significant scalability issues that impede its broader adoption. This study introduces a novel strategy to enhance blockchain scalability through optimized Load Balancing (LB), achieved by distributing nodes across shards using a customized M/M/k queuing model. The proposed method employs distinct distribution mechanisms for incoming and outgoing queries, ensuring balanced processing, reducing idle time, and improving network traffic management. By distributing workloads efficiently across shards, the approach minimizes bottlenecks, decreases query processing time, boosts transaction throughput, and enhances overall network performance. This solution offers a foundation for deploying scalable, reliable and high-performance blockchain systems applicable to several real-world scenarios, including e-commerce platforms, the gaming sector, educational credential verification, and cross-border payments. To validate the efficacy of the proposed approach, extensive performance comparisons were conducted against traditional LB techniques such as Round-Robin (RR), Least Connection (LC), Weighted Round Robin (WRR), and Weighted least Connection (WLC). It is inferred that the proposed system is more scalable and there is better load distribution than previously existing techniques. This research advocates for adopting the optimized LB strategy to develop scalable and resilient blockchain systems, fostering advancements in diverse industries.