VLDB 2011 - 37th International Conference on Very Large Data Bases

Research Track PVLDB 2011 and VLDB 2011

We invite submissions of original research papers to the 2011 volume of Proceedings of the VLDB Endowment (PVLDB). Accepted papers will form the Research Track for the 2011 VLDB conference. Please read carefully, as the submission procedure for VLDB 2011 has changed from previous years.

For 37 years, the VLDB conference has been a premier annual international forum for database researchers, vendors, practitioners, application developers, and users. PVLDB, established in 2008, is a scholarly journal for short and timely research papers, with a journal-style review and quality-assurance process. PVLDB is distinguished by a monthly submission process with rapid reviews. All papers selected for publication are to be presented at the annual VLDB conference.

More information on PVLDB and the VLDB conference is available at http://vldb.org/pvldb.

In 2011, for the first time, PVLDB is the only submission channel for research papers to appear in the VLDB conference. More information on the submission guidelines and processes for this track may be found here. Information on other VLDB 2011 tracks will be released in coming months.

Topics of Interest
PVLDB welcomes original research papers on a broad range of topics related to data-centric computation, especially at scale. The themes and topics listed below are intended as a sample of familiar themes and topics; we encourage and expect papers on many other data-centric topics as well.

Systems for Data Management: data system architecture; storage, replication and consistency; physical representations; query and dataflow processing

Scalable Data Analysis: complex queries and search; approximate querying; scalable statistical methods; management of uncertainty and reasoning at scale

Management of Very Large Data Systems: availability; adaptivity and self-tuning; power management; virtualization

Data-Centric Programming: service oriented architectures; declarative languages; programming frameworks for analytics; language interfaces for databases

Performance and Evaluation: benchmarking; experimental methodology at scale; scientific evaluation of complex data systems

Domain-Specific Data Management: methods and systems for science, developing regions, networks and mobility, ubiquitous computing, sensors, etc.

User Interfaces and Social Data: data visualization; collaborative data analysis and curation; social networks; email and messaging analytics