Research Track PVLDB Vol. 8 and VLDB 2015
We invite submissions of original research papers to the volume 8 of Proceedings of the VLDB Endowment (PVLDB). Accepted papers will form the Research Track for the 2015 VLDB conference.
The annual VLDB conference is 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. PVLDB issues are published regularly throughout the year. Your paper will appear in PVLDB soon after acceptance, and possibly in advance of the VLDB conference. All papers accepted in time (see details on this below) will both be published in PVLDB Vol. 8 and presented at the VLDB 2015 conference. At least one author of every submitted paper is expected to attend the VLDB conference if the paper is accepted.
PVLDB is the only submission channel for research papers to appear in the VLDB 2015 conference. More information on the submission guidelines and processes for this track may be found below. The submission process of other VLDB 2015 tracks in general differs and is described in the respective calls for papers.
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 all data-centric topics.
- Systems for Data Management: data system architecture; storage, replication and consistency; physical representations; query and dataflow processing, indexing; in-situ data analytics systems
- Scalable Data Analysis: complex queries and search; approximate querying; scalable statistical methods; management of uncertainty and reasoning at scale; data privacy and security
- Management of Very Large Data Systems: availability; adaptivity and self-tuning; power management; virtualization
- Data Models and Languages: XML and semi-structured data; multi-media, temporal and spatial data; declarative languages; 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 databases
- Management of Web and Heterogeneous Data: information extraction; information integration; meta-data management; data cleaning; service oriented architectures
- User Interfaces and Social Data: data visualization; collaborative data analysis and curation; social networks; email and messaging analytics
- New-Hardware Architectures and Software-Hardware Co-design of Data Management Systems: in-memory data analytics, non-uniform memory access, multi-core/many-core algorithms for data processing.
- Innovative Systems: systems architecture of innovative systems, platforms or novel applications of data management technology
- Experiments and Analysis: experimental surveys, result verification, problem analysis of data management technology
To submit a paper, follow the submission guidelines, and choose the research track for the correct month. Then carefully choose the subject area(s) that best describe the paper. The areas indicated impact the choice of both AE and reviewers.
Further Information on separate pages, following the links from the CfP above