用于可验证数字馆藏对象的私有IPFS数据保护区
A Private IPFS Data Sanctuary for Verifiable Digital Collection Objects
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中文总结 AI 辅助
本研究在柏林自然博物馆部署私有IPFS系统，实现内容寻址的采集数据暂存，验证了分布式存储支持可验证数字馆藏对象及GLAM机构联邦存储的可行性。
中文摘要 AI 辅助
背景：画廊、图书馆、档案馆和博物馆（GLAM）日益产生科学馆藏数据，这些数据的数字状态在采集后必须保持可识别、可恢复和可验证。一种暂存架构应提供冗余性，而不要求每次测量都依赖于单个工作站或存储路径。方法：我们在柏林自然博物馆评估了一个私有的七节点星际文件系统（IPFS）部署。五个树莓派5边缘节点和两个归档级节点贡献了基于NVMe的存储库，分布在通过共享无线路径连接的两个有线区域中。两个真实的原始采集文件夹通过内容标识符（CID）恢复，一个大型机器学习模型权重文件夹被摄取，并比较了来自两个边缘节点和两个归档节点的持续遥测数据。结果：原始采集A（6.20 GB）在34.0秒内实现（有效逻辑速率182 MB/s），原始采集B（5.19 GB）在14.092秒内实现（368 MB/s）。一个156.1 GB的模型权重文件夹在大约300秒内递归添加（逻辑摄取520 MB/s）。四个持续遥测序列包含857.3个记录的节点小时和27,616个有效的块统计探测，所有探测均报告成功的本地块访问。结论：该原型展示了一个实用的机构本地分布式文件系统（DFS），用于内容寻址的采集暂存。博物馆特定的对象标识符可以在馆藏对象级别保持稳定，而每个导入的测量自动获得内容派生的状态标识。复制策略有意将相同的块分布在故障域中，而内容寻址使得存储库内未更改的块能够被重用。这种组合支持可验证的数字馆藏对象，并为合作的GLAM机构提供了一种联邦存储模型。
英文摘要
Background: Galleries, libraries, archives and museums (GLAM) increasingly produce scientific collection data whose digital state must remain identifiable, recoverable, and verifiable after acquisition. A staging architecture should provide redundancy without requiring every measurement to depend on one workstation or storage path. Methods: We evaluated a private seven-node InterPlanetary File System (IPFS) deployment at the Museum für Naturkunde Berlin. Five Raspberry Pi 5 edge peers and two archive-class peers contributed NVMe-backed repositories across two wired zones linked by a shared wireless path. Two real raw-acquisition folders were recovered by content identifier (CID), a large machine-learning model-weight folder was ingested, and sustained telemetry from two edge and two archive nodes was compared. Results: Raw acquisition A (6.20 GB) materialized in 34.0 s (182 MB/s effective logical rate) and raw acquisition B (5.19 GB) in 14.092 s (368 MB/s). A 156.1 GB model-weight folder was recursively added in approximately 300 s (520 MB/s logical ingest). Four sustained telemetry series comprised 857.3 logged node-hours and 27,616 valid block-stat probes, all reporting successful local block access. Conclusion: The prototype demonstrates a practical institution-local distributed file system (DFS) for content-addressed acquisition staging. Museum-specific object identifiers can remain stable at the collection-object level while each imported measurement automatically receives a content-derived state identity. Replication intentionally distributes identical blocks across failure domains, while content addressing enables reuse of unchanged blocks within repositories. This combination supports verifiable digital collection objects and a federated storage model for collaborating GLAM institutions.
发表机构
- ELIO – Experimental Laboratory for Innovation in Object Digitalization, Museum für Naturkunde Berlin (MfN)（柏林自然博物馆（MfN）- 对象数字化创新实验实验室（ELIO））
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