AEC-DS：用于去中心化存储的具有PDP触发声誉和QoS感知迁移的自适应纠删编码

中文摘要 AI 辅助

在去中心化存储系统中，审计结果常未直接用于指导后续冗余和分片放置决策，导致资源分配低效和恢复延迟。我们提出AEC-DS，一种由可验证数据拥有（PDP）反馈驱动的闭环自适应纠删编码机制。PDP审计持续更新节点声誉，QoS感知迁移策略根据节点可靠性和数据优先级调整分片放置。该策略将高优先级分片从不稳定节点移至冷层中更可靠节点，并在后续放置决策中惩罚不稳定节点。对800个节点和500个文件的模拟表明，AEC-DS在冗余因子为1.25倍的评估故障模型下保持100%数据耐久性。与Static-EC、Dynamic-EC和DRD-EC相比，AEC-DS将累积恢复操作减少66.8%-75.2%。消融结果进一步表明类迁移在防止数据丢失中起主要作用，将测量的防丢失能力提高176.8%。这些结果表明PDP反馈可将完整性审计与冗余和放置适配联系起来，为实现自我修复的去中心化存储提供了一条实用途径，同时考虑了迁移的额外成本。

英文摘要

In decentralized storage systems, audit results are often not used directly to guide later redundancy and shard-placement decisions, which can lead to inefficient resource allocation and delayed recovery. We propose AEC-DS, a closed-loop adaptive erasure coding mechanism driven by Provable Data Possession (PDP) feedback. PDP audits continuously update node reputation, while a QoS-aware migration policy adjusts shard placement according to node reliability and data priority. The policy moves high-priority shards from unstable nodes to more reliable nodes in the cold tier and penalizes unstable nodes in subsequent placement decisions. Simulations with 800 nodes and 500 files show that AEC-DS maintains 100% data durability under the evaluated fault model with a redundancy factor of 1.25x. Compared with Static-EC, Dynamic-EC, and DRD-EC, AEC-DS reduces cumulative recovery operations by 66.8%-75.2%. Ablation results further show that class migration plays a major role in preventing data loss, improving the measured loss-prevention capability by 176.8%. These results indicate that PDP feedback can connect integrity auditing with redundancy and placement adaptation, providing a practical path toward self-healing decentralized storage while accounting for the additional cost of migration.

发表机构

• Zhejiang University（浙江大学）
• Central University of Finance and Economics（中央财经大学）
• Binjiang Institute of Zhejiang University（浙江大学滨江学院）

机构由 AI 辅助整理，请以论文原文为准。