Fundamentals of Data Warehouses
Fundamentals of Data Warehouses
Main Memory Database Systems: An Overview
IEEE Transactions on Knowledge and Data Engineering
Joe Celko's SQL for Smarties: Trees and Hierarchies
Joe Celko's SQL for Smarties: Trees and Hierarchies
The Panasas ActiveScale Storage Cluster: Delivering Scalable High Bandwidth Storage
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Nested intervals tree encoding in SQL
ACM SIGMOD Record
FDSSS: An Efficient Metadata Management Scheme in Large Scale Data Environment
GCCW '06 Proceedings of the Fifth International Conference on Grid and Cooperative Computing Workshops
Ceph: a scalable, high-performance distributed file system
OSDI '06 Proceedings of the 7th symposium on Operating systems design and implementation
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
| Hi-index | 0.00 |
Today filesystems of big companies are both huge and distributed amongst the world. They contain huge sets of metadata, but are not optimized to analyze them. In contrast, if metadata is stored in a database system and updated synchronously, it could be analyzed and processed in a much easier and straightforward way. Then even adding new attributes, not natively supported by the underlying filesystem, is easily possible. Thus, synchronous metadata storage in a database system can help managing and administrating huge filesystems efficiently but must not slow down the filesystem significantly. The aim of this paper is to describe possible solutions for synchronous metadata storage, inspect how such an integration of filesystem and database system might look like and evaluate the performance.