IEEE Transactions on Knowledge and Data Engineering
Cache Fusion: Extending Shared-Disk Clusters with Shared Caches
Proceedings of the 27th International Conference on Very Large Data Bases
OdeFS: A File System Interface to an Object-Oriented Database
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
FlashDB: dynamic self-tuning database for NAND flash
Proceedings of the 6th international conference on Information processing in sensor networks
Bigtable: a distributed storage system for structured data
OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
The end of an architectural era: (it's time for a complete rewrite)
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Binary XML storage and query processing in Oracle 11g
Proceedings of the VLDB Endowment
Oracle SecureFiles: prepared for the digital deluge
Proceedings of the VLDB Endowment
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
EPILEPSIAE - A European epilepsy database
Computer Methods and Programs in Biomedicine
Optimizing queries with expensive video predicates in cloud environment
Concurrency and Computation: Practice & Experience
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Over the last decade, the nature of content stored on computer storage systems has evolved from being relational to being semi-structured, i.e., unstructured data accompanied by relational metadata. Average data volumes have increased from a few hundred megabytes to hundreds of terabytes. Simultaneously, data feed rates have also increased with increase in processor, storage and network bandwidths. Data growth trends seem to be following Moore's law and thereby imply an exponential explosion in content volumes and rates in the years to come. The near future poses requirements for data management systems to provide solutions that provide unlimited scalability in execution, availability, recoverability and storage usage of semi-structured content. Traditionally, filesystems have been preferred over database management systems for providing storage solutions for unstructured data, while databases have been the preferred choice to manage relational data. Lack of consolidated semi-structured content management architecture compromises security, availability, recoverability, and manageability among other features. We introduce a system without compromises, the Oracle SecureFiles System, designed to provide highly scalable storage and access execution of unstructured and structured content as first-class objects within the Oracle relational database management system. Oracle SecureFiles breaks the performance barrier that has kept such content out of databases. The architecture provides capability to maximize utilization of storage usage through compression and de-duplication and achieves robustness by preserving transactional atomicity, durability, availability, read-consistent query-ability and security of the database management system.