1 / 11

HEAVEN A Hierarchical Storage and Archive Environment for Multidimensional Array-DBMS

HEAVEN A Hierarchical Storage and Archive Environment for Multidimensional Array-DBMS. Bernd Reiner reiner@forwiss.tu-muenchen.de.  set of multidimensional tiles tile = subarray. tiles stored in relational DBMS BLOBS multidimensional index (R+ tree). Index. Access to subsets of MDDs.

tudor
Download Presentation

HEAVEN A Hierarchical Storage and Archive Environment for Multidimensional Array-DBMS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. HEAVENA Hierarchical Storage and Archive Environment for Multidimensional Array-DBMS Bernd Reiner reiner@forwiss.tu-muenchen.de

  2.  set of multidimensional tiles • tile = subarray • tiles stored in relational DBMS BLOBS • multidimensional index (R+ tree) Index Access to subsets of MDDs Multidimensional query language RasQL Array DBMS • Multidimensional object (MDD)

  3. Motivation • Increasing amount of data (up to Petabyte) • Hard disks too small/expensive to hold hundreds of Terabytes • Typically data stored as files on Hierarchical Storage Management Systems (HSM-System, e.g. Tapes) • DBMS only used for Metadata • With the multidimensional array DBMS RasDaMan only subsets must be transferred instead of whole MDDs Include archived data in DBMS data access

  4. Client RasQL Hierarchical StorageManagement System RasDaManServer Tertiary Storage Manager File Storage Manager SQL DBMS Oracle / DB2 Offline Storage HSM HSM migrate migrate export export import import DBMS (on HDD) Cache Cache stage stage Nearline Online Offline System Architecture MultidimensionalArray DBMS

  5. Optimization • Minimization of tape access operations • Tiling, Object-Framing, Caching • Minimization of media exchange operations • Clustering, ordered Query-Queue, “lazy eject” • Minimization of positioning time • Clustering, ordered Query-Queue • Parallelization • Inter, intra object parallelization Publications: VLDB 2002, DEXA 2002, DEXA 2003

  6. One Tile Super-Tile algorithm export Tile 1 Tile 2 Tile 3 Tile 4 ST-4 ST-1 ST-2 ST-3 Magnetic Tape Export to Tertiary Media Preserves multidim. clusteringon Tape

  7. compute Super-Tiles RasDaMan viewer ImportSuper-Tiles Import from Tertiary Media

  8. Object-Framing • Reducing tape access

  9. Data Retrieval from HSM Partitioning of data  random Object: mpim4d (1,35 GByte) Positioning Time (sec.) Read data DLT4000average accesstime 68s Super-Tile-No. (48 MByte)

  10. Data Retrieval from HSM Partitioning of data  Super-Tile clustering Object: mpim4d (1,35 GByte) Positioning Time (sec.) Read data DLT4000average accesstime 68s Super-Tile-No. (48 MByte)

  11. Clustering vs. Random order Time (sec.)

More Related