SOSP '91 Proceedings of the thirteenth ACM symposium on Operating systems principles
Data-intensive computing and digital libraries
Communications of the ACM
In the trenches with ObjectStore
Theory and Practice of Object Systems - experiences using object data management in the real world
A scientific data extraction architecture using classified metadata
The Journal of Supercomputing
| Hi-index | 4.10 |
Computational and laboratory experiments generate masses of data that must be stored reliably,with minimal effort on each researcher's part, and must be retrievable for decades. The storage environmentmust also work seamlessly across scientific disciplines and capture all of a file system'sfeatures in a semantically-based catalog that provides Boolean, keyword, and tree-based data access.The authors describe a metadatabased archive for scientific data that provides flexible archive storage for very large data sets. The system uses metadata to organize and manage the data without imposing predefined metadata formats on scientists.