区块链多节点数据同步时延测试数据集
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本数据集来源于区块链多节点数据同步时延性能测试,旨在验证在不同节点规模和交易生成速率条件下系统同步效率与共识性能的表现。实验在500至1000节点规模的网络环境下进行,并设计分层与非分层两种典型拓扑结构,每个场景均重复10次以降低偶然性。测试采用系统底层代码打点与日志监测双重机制记录区块生成时间、接收时间与验证时间,时间精度达到毫秒级,空间范围覆盖至单节点与单笔交易级别。数据总量约1GB,包含结构化元数据约300KB、性能日志约1GB及配置文件约130KB,全面记录节点ID、区块高度、出块时间、传播延迟与验证时长等核心指标。质量控制方面,测试采用统一硬件与网络环境,结合多组实验人员独立复测、均值统计及异常剔除,保证数据准确性与可复现性;完整性通过全流程日志采集与参数交叉校验得到验证,安全性则依托区块链原生加密协议与隔离测试环境得到保障。结果表明,与ELASTICO、OmniLedger和RapidChain相比,本方案在交易生成速度提升条件下保持了稳定的共识延迟,体现出在大规模节点环境中的高效性与鲁棒性。该数据集不仅可作为区块链同步性能评估的标准化基准,也具备在分布式系统优化、云计算任务调度及跨域数据传输机制研究中的潜在价值。
This dataset is derived from blockchain multi-node data synchronization latency performance tests, aiming to verify the system synchronization efficiency and consensus performance under different node scales and transaction generation rates. Experiments were conducted in a network environment with 500 to 1000 nodes, and two typical topologies, layered and non-layered, were designed. Each scenario was repeated 10 times to reduce contingency. The test adopted dual mechanisms of underlying system code instrumentation and log monitoring to record block generation time, reception time and verification time, with a time precision of millisecond level, and the spatial scope covers single-node and single-transaction levels. The total data volume is approximately 1GB, including about 300KB of structured metadata, 1GB of performance logs and 130KB of configuration files, which comprehensively record core indicators such as node ID, block height, block generation time, propagation delay and verification duration. For quality control, the test adopted a unified hardware and network environment, combined with independent re-tests by multiple groups of experimenters, mean statistics and outlier elimination to ensure data accuracy and reproducibility; the integrity was verified through full-process log collection and parameter cross-check, and the security was guaranteed by relying on the native blockchain encryption protocol and isolated test environment. The results show that compared with ELASTICO, OmniLedger and RapidChain, this solution maintains stable consensus delay under the condition of improved transaction generation speed, reflecting its efficiency and robustness in large-scale node environments. This dataset can not only serve as a standardized benchmark for blockchain synchronization performance evaluation, but also has potential value in the research of distributed system optimization, cloud computing task scheduling and cross-domain data transmission mechanisms.




