The Experts below are selected from a list of 375 Experts worldwide ranked by ideXlab platform

Klaus R Dittrich - One of the best experts on this subject based on the ideXlab platform.

  • a collaborative real time Insert Transaction for a native text database system
    2003
    Co-Authors: Thomas B Hodelwidmer, Klaus R Dittrich
    Abstract:

    For a large-scale document management environment, we often make local copies of remote data sources. However, it is often difficult to monitor the sources in order to check for changes and to download changed data items to the copies. In this paper, a Insert Transaction for a collaborative editor that stores its data natively in a database in order to make all changes immediately available to all users, will be presented. One of the most significant challenges we meet in building real-time cooperative editing systems, is distributed concurrency control. Therefore we focus on a concurrency control schema for a database based collaborative editor.

Thomas B Hodelwidmer - One of the best experts on this subject based on the ideXlab platform.

  • a collaborative real time Insert Transaction for a native text database system
    2003
    Co-Authors: Thomas B Hodelwidmer, Klaus R Dittrich
    Abstract:

    For a large-scale document management environment, we often make local copies of remote data sources. However, it is often difficult to monitor the sources in order to check for changes and to download changed data items to the copies. In this paper, a Insert Transaction for a collaborative editor that stores its data natively in a database in order to make all changes immediately available to all users, will be presented. One of the most significant challenges we meet in building real-time cooperative editing systems, is distributed concurrency control. Therefore we focus on a concurrency control schema for a database based collaborative editor.

Youjip Won - One of the best experts on this subject based on the ideXlab platform.

  • exploiting multi block atomic write in sqlite Transaction
    Proceedings of the International Conference on High Performance Compilation Computing and Communications, 2017
    Co-Authors: Seungyong Cheon, Youjip Won
    Abstract:

    This work is dedicated to resolve the journaling overhead of widely used DBMS, SQLite. Database journaling and EXT4 filesystem journaling cause enormous write operations because of the frequent fdatasync() call and Journaling of Journal anomaly between SQLite and EXT4 filesystem. While Write-Ahead-Logging reduces the number of fdatasync() call and write volume, JOJ and database journaling overhead is still remained. In this work, we develop a new SQLite journal mode, MAW mode. We exploit the F2FS filesystem and its Multi-block Atomic Write feature to write updated database pages atomically. MAW mode completely eliminated database journaling and keeps database consistency from unexpected system failure. MAW mode only writes the actually updated database pages, thereby generates smaller write volume. We implement MAW mode at SQLite with most recent version of F2FS. With MAW mode, database Insert Transaction performance is increased by 487% and write volume is decreased by 67% than stock SQLite PERSIST mode in EXT4 filesystem.

Seungyong Cheon - One of the best experts on this subject based on the ideXlab platform.

  • exploiting multi block atomic write in sqlite Transaction
    Proceedings of the International Conference on High Performance Compilation Computing and Communications, 2017
    Co-Authors: Seungyong Cheon, Youjip Won
    Abstract:

    This work is dedicated to resolve the journaling overhead of widely used DBMS, SQLite. Database journaling and EXT4 filesystem journaling cause enormous write operations because of the frequent fdatasync() call and Journaling of Journal anomaly between SQLite and EXT4 filesystem. While Write-Ahead-Logging reduces the number of fdatasync() call and write volume, JOJ and database journaling overhead is still remained. In this work, we develop a new SQLite journal mode, MAW mode. We exploit the F2FS filesystem and its Multi-block Atomic Write feature to write updated database pages atomically. MAW mode completely eliminated database journaling and keeps database consistency from unexpected system failure. MAW mode only writes the actually updated database pages, thereby generates smaller write volume. We implement MAW mode at SQLite with most recent version of F2FS. With MAW mode, database Insert Transaction performance is increased by 487% and write volume is decreased by 67% than stock SQLite PERSIST mode in EXT4 filesystem.