本研究旨在提升 Hyperledger Fabric 的交易處理效能，聚焦於共識協議中的瓶頸問題。我們採用序列器式（sequencer-based）共識機制，透過集中化的交易排序大幅減少節點間通訊開銷。比較硬體與軟體兩種實作方式後，我們發現 eBPF 技術具備嵌入序列器邏輯於作業系統核心的潛力，可有效降低上下文切換與系統延遲。透過將改良版的 NOPaxos 協議整合進 Hyperledger Fabric，並以 eBPF 實現序列器，我們在實驗中達成交易吞吐量（TPS）提升 75%、延遲降低 45% 的顯著成效，優於原生 Hyperledger Fabric 系統。

This paper focuses on improving transaction processing speeds in Hyperledger Fabric by addressing bottlenecks in consensus protocols. We explore the sequencer-based consensus protocol, which reduces node communication by centralizing transaction ordering through a sequencer. Comparing hardware and software implementations, we identify the potential of eBPF technology to enhance performance by embedding sequencer logic directly in the kernel, minimizing context switches and latency. By integrating a modified NOPaxos into Hyperledger Fabric and leveraging eBPF for the sequencer, we achieved a 75% increase in TPS and an 45% reduction in latency compared to vanilla Hyperledger Fabric.

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