Closed-Loop Dynamic Validator Node Scaling in Private Substrate Blockchains Using Takagi-Sugeno Fuzzy Inference
arXiv:2607.07901v1 Announce Type: cross Abstract: Private blockchain networks run with fixed node configurations that cannot adapt to changing workload conditions. Too many nodes serving a light workload waste resources; too few nodes facing heavy demand slow block production and degrade finalisation. The right validator count is hard to determine, as it depends on overlapping factors that shift over time. This paper presents a Takagi-Sugeno (TS) fuzzy inference system that reads live blockchain parameters (block production time, block size, and active node count) and outputs a continuous effi
The increasing complexity and adoption of private blockchain networks necessitate more adaptive and efficient resource management solutions to handle dynamic workloads.
Optimizing private blockchain performance through dynamic node scaling can improve efficiency, reduce operational costs, and enhance the reliability of enterprise and specialized distributed ledger technologies.
Private blockchain networks can move from static, inefficient configurations to adaptive, resource-optimized systems that automatically adjust to real-time workload demands.
- · Enterprises using private blockchains
- · Blockchain developers
- · Cloud infrastructure providers
- · Inefficient static blockchain deployments
Improved performance and cost-efficiency for private blockchain applications.
Increased adoption of private blockchain solutions across various industries due to enhanced reliability and scalability.
The development of more sophisticated autonomous management systems for distributed ledgers, potentially leveraging advanced AI for predictive scaling and threat mitigation.
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Read at arXiv cs.AI