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English(EN) Closed-Loop Dynamic Validator Node Scaling in Private Substrate Blockchains Using Takagi-Sugeno Fuzzy Inference

Takagi-Sugeno 模糊逻辑扩展 Substrate 区块链节点

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一个 Takagi-Sugeno 模糊推理系统，用于在私有 Substrate 区块链中动态扩展验证节点。该系统分析区块生产时间和活动节点数等实时区块链参数，以推荐扩展操作，旨在优化资源使用和性能。该控制器使用 27 条规则库和重新校准的隶属函数，在存储昆士兰州政府数据的 10 节点网络上进行的闭环实验中展示了稳定的自主调整。 AI

影响 这项研究通过实现自主资源管理，有望带来更高效、更稳定的私有区块链网络。

排序理由 详细介绍用于区块链节点扩展的新型模糊推理系统的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.AI 阅读 →

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Takagi-Sugeno 模糊逻辑扩展 Substrate 区块链节点

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详细介绍用于区块链节点扩展的新型模糊推理系统的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Thandile Nododile, Ayinde M. Usman, Clement N. Nyirenda ·

    私有 Substrate 区块链中使用 Takagi-Sugeno 模糊推理的闭环动态验证节点扩展

    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…

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