XLDB
XLDB refers to eXtremely Large Data Bases. The definition of extremely large will clearly evolve with time. In 2007-2010 time frame, XLDB refers to databases whose size is 1 petabyte or greater.
In October 2007 the XLDB experts gathered at SLAC for the First Workshop on Extremely Large Databases. As a result, the XLDB research community was formed. The main goals of this community include[1]:
- Identify trends, commonalities and major roadblocks related to building extremely large databases
- Bridge the gap between users trying to build extremely large databases and database solution providers worldwide
- Facilitate development and growth of practical technologies for extremely large data stores
XLDB builds on the long-established VLDB research and application domain.
One of the results of the XLDB activities was initiating the effort of building a new open source, science database, SciDB.[2]
XLDB Community
As of 2011, the community consisted of over 200 members including:
- Scientists who develop, use, or plan to develop or use XLDB for their research, from laboratories
- Commercial users of XLDB
- Providers of database products, including commercial vendors and representatives from open source database communities
- Academic database researchers.
XLDB Workshops
The community meets annually at the invitation-only Extremely Large Databases Workshops. A detailed report is produced after each workshop. In 2010, in addition to the workshop an open conference was introduced for the first time.
| Year | Place | Link | Bericht |
|---|---|---|---|
| 2011 | SLAC | [1] | not available yet |
| 2010 | SLAC | [2] | [3] |
| 2009 | Lyon | [4] | [5] |
| 2008 | SLAC | [6] | [7] |
| 2007 | SLAC | [8] | [9] |
References
- ^ Becla, Jacek (2009). "XLDB 3 Welcome". Retrieved 2009-08-29.
{{cite web}}: Cite has empty unknown parameters:|1=and|2=(help) - ^ Becla, Jacek (2008). "Report from the SciDB Workshop". Retrieved 2008-09-29.
Further reading
- Pavlo A., Paulson E., Rasin A., Abadi D. J., Dewitt D. J., Madden S., and Stonebraker M., A Comparison of Approaches to Large-Scale Data Analysis," Proceedings of the 2009 ACM SIGMOD, http://database.cs.brown.edu/sigmod09/benchmarks-sigmod09.pdf
- Becla, J., et al. 2006, Designing a multi-petabyte database for LSST, http://arxiv.org/abs/cs/0604112.
- Becla, J., & Wang, D. L. 2005, Lessons Learned from Managing a Petabyte, downloaded from http://www.slac.stanford.edu/pubs/slacpubs/10750/slac-pub-10963.pdf on 2007-11-25.
- Bell, G., Gray, J., & Szalay, A. 2005, Petascale computations systems: Balanced cyberinfrastructure in a data-centric world, http://arxiv.org/abs/cs/0701165.
- Duellmann, D. 1999, Petabyte Databases, ACM SIGMOD Record, vol. 28, p. 506, http://www.sigmod.org/sigmod/record/issues/9906/index.html#TutorialSessions.
- Hanushevsky, A., & Nowak, M. 1999, Pursuit of a Scalable High Performance Multi-Petabyte Database, 16th IEEE Symposium on Mass Storage Systems, pp. 169-175, http://citeseer.ist.psu.edu/217883.html.
- Shiers, J., Building Very Large, Distributed Object Databases, downloaded from http://wwwasd.web.cern.ch/wwwasd/cernlib/rd45/papers/dbprog.html on 2007-11-25.