• DocumentCode
    2686901
  • Title

    The F&A Methodology and Its Experimental Validation on a Real-Life Parallel Processing Database System

  • Author

    Bellatreche, Ladjel ; Benkrid, Soumia ; Crolotte, Alain ; Cuzzocrea, Alfredo ; Ghazal, Ahmad

  • Author_Institution
    LIAS/ENS/MA, Poitiers Univ., Poitiers, France
  • fYear
    2012
  • fDate
    4-6 July 2012
  • Firstpage
    114
  • Lastpage
    121
  • Abstract
    This paper complements our previous results in the context of effectively and efficient designing Parallel Relational Data Warehouses (PRDW) over heterogeneous database clusters, which are represented by the proposal of a methodology called Fragmentation & Allocation (F& A). The main merit of F& A is that of combining the fragmentation and the allocation phases simultaneously, which are instead performed separately by traditional approaches. In this paper, we prove the practical impact and the reliability of F& A on a real-life parallel processing database system.
  • Keywords
    data warehouses; parallel databases; relational databases; resource allocation; f&a methodology; fragmentation & allocation; heterogeneous database cluster; parallel processing database system; parallel relational data warehouse; reliability; Data handling; Data storage systems; Data warehouses; Databases; Design methodology; Information management; Resource management; algorithms; experimentation; high-performance computing methodologies for parallel data warehouses; parallel relational data warehouses; performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on
  • Conference_Location
    Palermo
  • Print_ISBN
    978-1-4673-1233-2
  • Type

    conf

  • DOI
    10.1109/CISIS.2012.95
  • Filename
    6245571
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2686901