VLDB 2009
| VLDB 2009 | |
|---|---|
Very Large Data Bases 2009
| |
| Start | August 24 2009 (iCal) |
| End | August 28 2009 |
| Homepage: | Homepage |
| Location | |
| City: | Lyon |
| Country: | France |
| Important dates | |
| Workshops due: | January 31 2009 |
| Tutorial due: | April 3 2009 |
| Abstracts due: | March 13 2009 |
| Papers due: | March 20 2009 |
| Demos due: | March 20 2009 |
| Notification: | May 29 2009 |
| Camera ready due: | June 20 2009 |
Event in series VLDB
| |
VLDB 2009, the 35th conference in the series, will feature research talks, tutorials, demonstrations, and workshops. It will cover current issues in database and information systems research. Databases remain one of the technological cornerstones of emerging applications of the twenty-first century.
VLDB 2009 calls for outstanding research papers as well as proposals for demonstrations. Tutorial proposals on all topics that will be of particular interest for the community are welcome. VLDB 2009 also strongly encourages the submission of workshop proposals on challenging topics in areas related to the VLDB focus.
Papers must be submitted electronically. Please check this website regularly for updated information on the paper submission procedure.
Contents |
[edit] Topics
VLDB 2009 will be organized into four tracks, each with its own Program Committee:
- Core Database Technology
- Infrastructure for Information Systems
- Industrial, Applications and Experience
- Experiments and Analyses
The Core Database Technology Track will evaluate papers on technologies intended to be incorporated within the database system itself. The topics of interest to this track include (but are not limited to):
- Active Databases
- Benchmarking and Performance
- Concurrency Control and Recovery
- Data Models and Languages
- Database Administration and Manageability
- Database Indexing and Search
- Database Performance and Evaluation
- Embedded and Mobile Databases
- Engine-based Views, Replication, and Caching
- Fuzzy, Probabilistic, and Approximate Data
- Image, Text, and Multimedia Databases
- Native Semi-Structured Data and XML
- Parallel, Distributed, and Grid Databases
- Private and Secure Databases
- Query Processing and Optimization
- Real-Time Databases
- Reliable and Robust Databases
- Spatial and Temporal Databases
- Stream Databases
The Information Infrastructure Track covers all aspects of data management not implemented within a conventional database engine. The topics covered by this track include (but are not limited to):
- Content Delivery Networks
- Database Services and Applications
- Data Design, Evolution and Migration
- Data Management in Computational Science
- Data Mining
- Data Quality and Semantics
- Heterogeneous and Federated DBMS (Interoperability)
- Information Filtering and Dissemination
- Information Integration and Retrieval
- Meta-data Management
- Middleware Platforms for Data Management
- Mobile Data Management
- Novel/Advanced Applications
- On-Line Analytic Processing
- P2P and Networked Data Management
- Profile-based Data Management
- Provenance management
- Scientific Databases
- Sensor Networks
- User Interfaces and Visualization
- Web Replication and Caching
- Web Services and Web Service Composition
- XML Middleware Platforms
- Social Systems and Recommendations
The Industrial, Applications and Experience Track covers innovative commercial database implementations, novel applications of database technology, and experience in applying recent research advances to practical situations, in any of the following example areas (or, in other areas where data management is important):
- Adapting DB Technology to Industrial Settings and Requirements
- Application Areas (Government, Finance, Humanities, Telecommunications, Home and Personal Computing, ...)
- Bio-Informatics/Life Sciences
- Business Process Engineering and Execution Support
- Data Management for Developing Countries
- Digital Libraries/Document Management
- Electronic Commerce
- Engineering Information Systems
- Enterprise Data Management
- Enterprise Resource Planning
- Environmental Management
- Experiences in Using DB Technology
- Geographic Information Systems
- Industrial-Strength Systems based on DB Technology
- Mobile Computing
- Medical Systems
- Reporting of Pitfalls and Difficulties
- Retail Systems
- Self-Managing Systems
- System Design and Implementation using DB Technology
The Experiments and Analyses Track
Database management has been an active area of research for several decades. This special topic aims to meet needs for consolidation of a maturing research area by providing a prestigious forum for in-depth analytical or empirical studies and comparisons of existing techniques. The expected contribution of an Experiments and Analyses (E&A) paper is new, independent, comprehensive and reproducible evaluations and comparisons of existing data management techniques. Thus, the intended contribution of an E&A paper is not a new algorithm or technique but rather further insight into the state-of-the-art by means of careful, systematic, and scientific evaluation. Comparisons of algorithmic techniques must either use best-effort re-implementations based on the original papers, or use existing implementations from the original authors, if publicly available. Authors should discuss and validate substantial new results with authors of the orignal methods before submission.
The program committee may require accepted papers to include feedback from original authors as a condition of final acceptance.
In some cases, material might cut across more than one of the tracks, and indeed we strongly encourage papers that pursue some of the ties between them. As submissions will be judged by their appropriateness for the track in which they are being evaluated, appropriate placement of papers is important. If in doubt, please contact one of the PC chairs. The program committee reserves the right to move papers between the PCs to ensure the fairest possible evaluation.
[edit] Committees
General Chair: Patrick Valduriez, INRIA Nantes
[edit] Programme Chairs
- Jignesh M. Patel, Core Database Technology Program Chair, University of Wisconsin, USA
- Tova Milo, Infrastructure for Information Systems Program Chair, University of Tel Aviv, Israel
- Mike Carey, Industrial, Applications and Experience Program co-Chair, UC Irvine, USA
- Sihem Amer-Yahia, Industrial, Applications and Experience Program co-Chair, Yahoo! Research, USA
- Volker Markl, Experiments and Analyses Program Chair, IBM Almaden, USA
- Philippe Pucheral, Demonstrations Program co-Chairs, INRIA Rocquencourt, France
- Neoklis Polyzotis, Demonstrations Program co-Chairs, UC Santa Cruz, USA
- Jayant Haritsa, Demonstrations Program co-Chairs, IISc Bangalore, India
- Alfons Kemper, PhD Workshop Program co-Chairs, Technische Universitaet Muenchen, Germany
- Amélie Marian, PhD Workshop Program co-Chairs, Rutgers University, USA
[edit] Program Committee
Core Database Technology Program Committee
- Daniel Abadi, University of Yale (USA)
- Anastasia Ailamaki, EPFL (Switzerland)
- Walid Aref, University of Purdue (USA)
- Phil Bohannon, Yahoo! Research (USA)
- Peter Boncz, CWI (The Netherlands)
- Angela Bonifati, CNR (Italy)
- Nick Bruno, Microsoft Research (USA)
- Ugur Cetintemel, University of Brown (USA)
- Sang Cha, Seoul National University (Korea)
- Chee Yong Chan, NUS (Singapore)
- Mitch Cherniack, University of Brandeis (USA)
- Junghoo Cho, UCLA (USA)
- Panos Chrysanthis, University of Pittsburgh (USA)
- Mariano Consens, University of Toronto (Canada)
- Amol Deshpande, University of Maryland (USA)
- David DeWitt, Microsoft Research (USA)
- Yanlei Diao, University of Massachusetts]], Amherst (USA)
- AnHai Doan, University of Wisconsin (USA)
- Christos Faloutsos, CMU (USA)
- Wenfei Fan, University of Edinburgh (UK)
- Alan Fekete, University of Sydney (Australia)
- Naga Govindaraju, Microsoft Research (USA)
- Goetz Graefe, HP Labs (USA)
- Torsten Grust, TU Munchen (Germany)
- Dimitrios Gunopulos, UC Riverside (USA)
- Jiawei Han, UIUC (USA)
- Richard Hankins, Nokia Research (USA)
- Zachary Ives, University of Pennsylvania (USA)
- Christian S. Jensen, University of Aalborg (Denmark)
- Tamer Kahveci, University of Florida (USA)
- Daniel Keim, University of Konstanz (Germany)
- Bettina Kemme, University of McGill (Canada)
- Eamonn Keogh, UC Riverside (USA)
- Martin Kersten, CWI (The Netherlands)
- Christoph Koch, University of Cornell (USA)
- George Kollios, University of Boston (USA)
- Nick Koudas, University of Toronto (Canada)
- Laks Lakshmanan, UBS (Canada)
- Paul Larson, Microsoft Research (USA)
- Kristen LeFevre, University of Michigan (USA)
- Boon Thau Loo, University of Pennsylvania (USA)
- Qiong Luo, HKUST (Hong Kong)
- Nikos Mamoulis, University of Hong Kong (Hong Kong)
- Claudia Medeiros, University of Campinas (Brazil)
- Michael Morse, MITRE (USA)
- Chris Olston, Yahoo! Research (USA)
- Beng Chin Ooi, NUS (Singapore)
- Fatma Ozcan, IBM Almaden (USA)
- Sriram Padmanabhan, IBM SVL (USA)
- Yannis Papakonstantinou, UCSD (USA)
- Evaggelia Pitoura, University of Ioannina (Greece)
- Krithi Ramamritham, IIT-Bombay (India)
- Rajeev Rastogi, Yahoo! Research (India)
- Tore Risch, University of Uppsala]], Sweden
- Kenneth Salem, University of Waterloo (Canada)
- Bernard Seeger, Phillips U. Marbaurg (Germany)
- Cyrus Shahabi, USC (USA)
- Divesh Srivastava, ATT (USA)
- Yufei Tao, CUHK (Hong Kong)
- Sandeep Tata, IBM Almaden (USA)
- Nesime Tatbul, ETH (Switzerland)
- Yuanyuan Tian, IBM Almaden (USA)
- Wei Wang, UNC (USA)
- Raymond Wong, HKUST (Hong Kong)
- Melanie Wu, University of Indiana (USA)
- Cong Yu, Yahoo! Research (USA)
- Carlo Zaniolo, UCLA (USA)
- Donghui Zhang, Northeastern University (USA)
- Jingren Zhou, Microsoft Research (USA)
- Xiaofang Zhou, University of Queensland (Australia)
Infrastructure for Information Systems Program Committee
- Ashraf Aboulnaga, University of Waterloo (Canada)
- Andrea Arpaci-Dusseau, University of Wisconsin (USA)
- Paolo Atzeni, University of Roma (Italy)
- Ricardo Baeza-Yates, Yahoo Research Barcelona (Spain)
- Ziv Bar-Yossef, University of Technion (Israel)
- Veronique Benzaken, University of Paris Sud]], LRI (France)
- Elisa Bertino, University of Purdue (USA)
- Loreto Bravo, University of Edinburgh (UK)
- Laura Bright, OGI (USA)
- Fabio Casati, University of Trento (Italy)
- Malu Castellanos, HP Labs (USA)
- Barbara Catania, University of Genova (USA)
- Tiziana Catarci, University of Roma (Italy)
- Ed Chang, Google China (China)
- Yi Chen, Arizona State University (USA)
- Rada Chirkova, North Carolina State University (USA)
- Laura Chiticariu, IBM (USA)
- Vassilis Christophides, ICS-Forth (Greece)
- Edith Cohen, AT&T (USA)
- Sara Cohen, Hebrew University (Israel)
- Latha Colby, IBM (USA)
- Gao Cong, University of Aalborg (Denmark)
- Isabel Cruz, University of Illinois at Chicago (USA)
- Bin Cui, Peking University (China)
- Lois Delcambre, OGI (USA)
- Alin Deutsch, UCSD (USA)
- Asuman Dogac, Middle East Tech University (Turkey)
- Luna Dong, AT&T (USA)
- Anat Eyal, Microsoft Research (USA)
- Elena Ferrari, Studi dell'Insubria (Italy)
- Ariel Fuxman, Microsoft Research (USA)
- Wynne Hsu, NUS (Singapore)
- Chris Jermaine, University of Florida (USA)
- Carl-Christian Kanne, University of Mannheim (Germany)
- Yaron Kanza, Technion University (Israel)
- Benny Kimelfeld, Hebrew University (Israel)
- Rajasekar Krishnamurthy, IBM (USA)
- Zoe Lacroix, ASU (USA)
- Mong Li Lee, NUS (Singapore)
- Yunyao Li, IBM (USA)
- Sergey Melnik, Google (USA)
- Rosa Meo, University of Torino (Italy)
- Jeff Naughton, University of Wisconsin (USA)
- Frank Neven, University of Hasselt (Belgium)Silvia Nittel]], University of Maine (USA)
- Betty O'Neill, University of Massachusetts (USA)
- Joann Ordille, Avaya (USA)
- Tamer Ozsu, University of Waterloo (USA)
- Esther Pacitti, INRIA and University of Nantes (France)
- Rachel Pottinger, UBC (USA)
- Louiqa Raschid, UMIACS (USA)
- Kenn Ross, University of Columbia (Canada)
- Elke Rundensteiner, RPI (USA)
- Timos Selis, NTUA (Greece)
- Cristina Sieangelo, ENS Cachan (France)
- Dan Suciu, University of Washington (USA)
- S. Sudarshan, IIT Bombay (India)
- Val Tannen, University of Pennsylvania (USA)
- Evimaria Terzi, IBM (USA)
- Vasilis Vassalos, AUEB (Greece)
- Victor Vianu, UCSD (USA)
- Jianyong Wang, University of Tsinghua (China)
- Min Wang, IBM (USA)
- Marianne Winslett, University of Illinois (USA)
- Limsoon Wong, NUS (Singapore)
- Jeffrey Yu, University of Hong Kong (China)
Industrial, Applications and Experience Program Committee
- Roberto Bayardo, Google (USA)
- Michael Brodie, Verizon (USA)
- Takeshi Fukuda, IBM (Japan)
- Johannes Gehrke, FAST (Germany)
- Alex Gorelik, Exeros (USA)
- Mary Holstege, MarkLogic (USA)
- Panos Ipeirotis, NYU Stern (USA)
- Dean Jacobs, SAP (Germany)
- Ravi Krishnamurthy, Kickfire (USA)
- Sailesh Krishnamurthy, Truviso (USA)
- Ravi Murthy, Oracle (USA)
- Marie-Anne Neimat, Oracle (USA)
- Bill O'Connell, IBM (USA)
- Makoto Onizuka, NTT Labs (Japan)
- Hwee Hwa Pang, Management University (Singapore)
- Serge Rielau, IBM Toronto (Canada)
- Jonathan Robie, Redhat
- Mary Roth, IBM (USA)
- Donovan Schneider, Yahoo! (USA)
- Len Seligman, MITRE Corporation (USA)
- Ming-Chien Shan, SAP (China)
- Alex Szalay, Johns Hopkins University (USA)
- Brian Vickery, HP (USA)
- Kevin Wilkinson, HP (USA)
Experiments and Analyses Program Committee
- Anastasia Ailamaki, EPFL (Switzerland)
- Gustavo Alonso, ETH Zurich (Switzerland)
- Philip Bernstein, Microsoft Research (USA)
- John Cieslewicz, Aster Data Systems
- Umeshwar Dayal, HP (USA)
- Alin Deutsch, UCSD (USA)
- Jens Dittrich, University of Saarbrücken (Germany)
- Wook-Shin Han, Kyungpuk University (Korea)
- Ihab Ilyas, University of Waterloo (Canada)
- Yannis Ioannidis, UOA (USA)
- Alfons Kemper, TU München (Germany)
- Eamonn Keogh, Uiversity of California (USA)
- Nick Koudas, University of Toronto (Canada)
- Paul Larson, Microsoft Research (USA)
- Jayant Madhavan, Google Inc. (USA)
- Stefan Manegold, CWI (The Netherlands)
- Beng Chin Ooi, NUS (Singapore)
- Vijayshankar Raman, IBM (USA)
- Timos Sellis, NTUA (Greece)
- Eugene Shekita, IBM (USA)
- Utkarsh Srivastava, Yahoo Inc. (USA)
- Julia Stoyanovich, University of Columbia (Canada)
- Goce Trajcevski, Northwestern University (USA)
Demonstrations Program Committee
- Shivnath Babu, Duke University (USA)
- James Bailey, Univ. of Melbourne (Australia)
- Srikanta Bedathur, MPI Germany
- Sourav Bhowmick, NTU (Singapore)
- Pedro Bizarro, Univ. of Coimbra (Portugal)
- Philippe Bonnet, DIKU (Denmark)
- Barbara Carminati, Univ of Uninsubria (Italy)
- Benoit Dageville, Oracle Corp (USA)
- Alin Dobra, Univ. of Florida (USA)
- Irini Fundulaki, ICS-Forth (Greece)
- Ihab Ilyas, Univ. of Waterloo (Canada)
- Jerry Kiernan, IBM Almaden (USA)
- Masaru Kitsuregawa, Univ. of Tokyo (Japan)
- Yannis Kotidis, Athens Univ. of Economics and Business (Greece)
- A. Kumaran, Microsoft Research (India)
- Laurent Mignet, IBM IRL (India)
- Gerome Miklau, Univ. of Mass Amherst (USA)
- Benjamin Nguyen, Univ. of Versailles (France)
- Stelios Paparizos, Microsoft Research (USA)
- Prasan Roy, Aster Data Systems (USA)
- Anthony Tung, NUS (Singapore)
- Ozgur Ulusoy, Bilkent Univ. (Turkey)
- Agnès Voisard, Fraunhofer ISST and FU Berlin (Germany)
- Honesty Young, IBM Research (China)
PhD Workshop Program Committee
- Bernd Amann, LIP 6 Université Pierre et Marie Curie (France)
- Alin Deutsch, University of California, San Diego (USA)
- Jens Peter Dittrich, Saarland University (Germany)
- Anne Doucet, LIP 6 Université Pierre et Marie Curie (France)
- Juliana Freire, University of Utah (USA)
- Luis Gravano, Columbia University (USA)
- Torsten Grust, Uni Tübingen (Germany)
- Alon Halevy, Google (USA)
- Sven Helmer, Birkbeck, University of London (UK)
- Gerome Miklau, University of Massachusetts, Amherst (USA)
- Felix Naumann, Hasso Plattner Institut, Potsdam (Germany)
- Dan Olteanu, Oxford University (UK)
- Rachel Pottinger, University of British Columbia (Canada)
- Divesh Srivastava, AT&T Labs Research (USA)
- Martin Theobald, Stanford University (USA)
- Jan van den Bussche, Universiteit Hasselt (Belgium)
- Yannis Velegrakis, University of Trento (Italy)
- Emmanuel Waller, Université Paris-Sud 11 (France)