FlashDB 2011 was successfully held in conjunction with DASFAA in Hong Kong, where we had 25+ participants. Since this was the first workshop and flash-based data management is a continuously hot topic in both academia and industry, we expect to attract more attendees in FlashDB 2012.

  Recently, new storage media such as flash memory and phase change memory have been developed very quickly, which bring big challenges to the architecture of computer systems as well as the design of system software. In particular, NAND flash (either SLC- or MLC-based) in the form of solid state disks (SSDs) has been an alternative to traditional magnetic disks, both in the home-user environment and in the enterprise computing environment, due to its shock-resistance, low power consumption, non-volatility, and high I/O speed. The special features of flash memory and other new storage media impose new challenges to traditional data management technologies. As a result, traditional database architectures and algorithms designed for magnetic-disk-based storage fail to utilize new storage media efficiently. Meanwhile, the new characteristics of modern storage media, such as not-in-place update and asymmetric read/write/erase latencies of flash memory, also bring great challenges in optimizing database performance, by using new query processing algorithms, indexes, buffer management schemes, and new transaction processing protocols. Consequently, how to exploit the characteristics of flash memory and other new storage media has become an important topic of database systems research. In order to make use of the characteristics of flash memory and other new storage media, the data management community needs to rethink the algorithms and technical issues in magnetic-disk-oriented database systems and gets them adapted to the advances in the underlying storage infrastructure.

  The aim of this one-day workshop is to bring together researchers who are interested in optimizing database performance on flash memory or other new storage media by designing new data management techniques and tools. We welcome papers that address fundamental research issues in this challenging area, with emphasizes on new algorithms of flash-based data management. We also encourage papers to report on system level research related to data management on flash-based solid state disks or other new storage devices. The topics of interest include, but are not limited to, the following:
  Design of new storage devices, e.g., flash-based solid state disks
  Database architectures for new storage devices
  Green-computing and energy-efficient techniques for new storage       devices
  Cost models and query optimization for new storage devices
  Index structures optimized for new storage devices
  Buffer management policies for new storage devices
  Multi-level storage systems
  Performance analysis of database workloads on new storage devices
  Transaction processing in database systems on new storage devices
  Data management issues for hybrid storage architecture
  New workloads and benchmark tools for algorithms on new storage       devices

  Papers describing ongoing or completed research and development efforts are sought.
  Submissions must not exceed 12 pages and the paper must follow Springer LNCS format.
  Interested authors should electronically submit a PDF file of the paper through the FlashDB 2012 Online Submission System: https://cmt.research.microsoft.com/FLASHDB2012/.

  Accepted papers will be published by Springer as proceedings in Lecture Notes in Computer Science (LNCS) (pending for formal approval).

Workshop General Co-Chairs:
  Xiaofeng Meng, Renmin University of China (RUC)
  Lihua Yue, University of Science and Technology of China (USTC)
Program Co-Chairs:
  Bingsheng He, Nanyang Technological University (NTU)
  Jianliang Xu, Hong Kong Baptist University (HKBU)
PC Members(more to be added):
  Bin Cui, Peking University, China
  Bin He, IBM Almaden Research
  Ioannis Koltsidas, IBM Zurich Research
  Ming Wu, Microsoft Research Asia
  Peiquan Jin, University of Science and Technology of China
  Philippe Bonnet, IT University of Copenhagen
  Qiong Luo, Hong Kong University of Science and Technolody, China
  Sang-Won Lee, Sungkyunkwan University, Korea
  Shimin Chen, HP labs, China
  Sivan Toledo, Tel-Aviv University, Italy
  Suman Nath, Microsoft Research, USA
  Theo Härder, University of Kaiserslautern, Germany
  Vijayan Prabhakaran, Microsoft Research, USA
  Sang-Wook Kim, Hanyang University, Korea
  Tae-Sun Chung, Ajou University
  Ha-Joo Song, Pukyoung University
  Dong-Joo Park, Soongsil University