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Recent PublicationsRyan Johnson, Radu Stoica, Anastasia Ailamaki, and Todd Mowry. Decoupling contention management from scheduling. In Proceedings of the 15th international conference on Architectural support for programming languages and operating systems, Pittsburgh, PA, USA, March 13-17, 2010. Anastasia Ailamaki, Verena Kantere, and Debabrata Dash. Scientific data: Still a challenge for data management. In Communications of ACM, 2010. Ippokratis Pandis, Ryan Johnson, Nikos Hardavellas, and Anastasia Ailamaki. Data-Oriented Transaction Execution. In Proceedings of the VLDB Endowment, volume 3, number 1, 2010. Debabrata Dash, Verena Kantere, and Anastasia Ailamaki. An Economic Model for Self-tuned Cloud Caching. In Proceedings of the 2009 IEEE International Conference on Data Engineering, pages 1687-1693, Sanghai, March 29 - April 2, 2009. Tanu Malik, Xiaodan Wang, Debabrata Dash, Amitabh Chaudary, Randal Burns, and Anastasia Ailamaki. Adaptive Physical Design for Curated Archives. In Proceedings of the 21st International Conference on Scientific and Statistical Database Management, pages 148-166, New Orleans, June 2-4, 2009. Ryan Johnson, Ippokratis Pandis, and Anastasia Ailamaki. Improving OLTP scalability using speculative lock inheritance. In Proceedings of the VLDB Endowment, volume 2, number 1, pages 479-489, Lyon, August 24-28, 2009. Ryan Johnson, Ippokratis Pandis, Nikos Hardavellas, Anastasia Ailamaki, and Babak Falsafi. Shore-MT: a scalable storage manager for the multicore era. In Proceedings of the 12th International Conference on Extending Database Technology, volume 360, pages 24-35, Saint Petersburg, Russia, March 24-26, 2009. Ryan Johnson, Manos Athanassoulis, Radu Stoica, and Anastasia Ailamaki. A New Look at the Roles of Spinning and Blocking. In Proceedings of the Fifth International Workshop on Data Management on New Hardware, Providence, Rhode Island, June 28, 2009. Radu Stoica, Manos Athanassoulis, Ryan Johnson, and Anastasia Ailamaki. Evaluating and Repairing Write Performance on Flash Devices. In Proceedings of the Fifth International Workshop on Data Management on New Hardware, Providence, Rhode Island, June 28, 2009.
DIAS: Data-Intensive Applications and Systems LaboratoryWelcome to the Data-Intensive Applications and Systems (DIAS) laboratory. The DIAS lab was created at EPFL in 2008 by Professor Anastasia Ailamaki. In DIAS, our research interests lie in the broad area of database systems and applications, with emphasis on database system behavior on modern processor hardware and disks. Our projects aim at (a) inventing innovative technology to strengthen the interaction between the database software and the underlying hardware and I/O devices, and (b) supporting scientific applications through automating physical database design for scientific datasets, as well as inventing access methods for specialized data structures and models.
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