• DocumentCode
    2498651
  • Title

    Performance Analysis of Y-Tree on Flash Drives

  • Author

    Boonyawat, Narong ; Natwichai, Juggapong

  • Author_Institution
    Comput. Eng. Dept., Chiang Mai Univ., Chiang Mai, Thailand
  • fYear
    2010
  • fDate
    23-25 April 2010
  • Firstpage
    472
  • Lastpage
    476
  • Abstract
    Data warehousing is one of the most important fundamental components of business intelligence. One approach to improve a data warehouse is indexing. Y-tree is a type of index which is designed to facilitate one of the most critical data warehousing functionalities, i.e. data insertion. Y-trees support bulk insertion efficiently and also can provide the query performance as efficient as traditional value-list indexes. In this paper, we propose a theoretical study on the performance of the Y-tree indexes when implemented on flash drives. Our work will cover two main functionalities of Y-trees on flash drives, i.e. insertion and query performance. Given that flash drives are emerging as the main storage of the server-class computers, and their price per size are getting lower. The analysis of the performance in this paper can help to estimate the performance in practices. Also, the result can help practitioners to optimize Y-tree according to the given environment.
  • Keywords
    competitive intelligence; data warehouses; flash memories; performance evaluation; tree data structures; Y-tree performance analysis; bulk insertion; business intelligence; data insertion; data warehousing; flash drives; query performance insertion; server class computers; value list indexes; Bismuth; Computer networks; Costs; Data engineering; Data warehouses; Drives; Indexing; Intelligent networks; Performance analysis; Warehousing; Y-tree; flash drives; indexing; performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Network Technology (ICCNT), 2010 Second International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-0-7695-4042-9
  • Electronic_ISBN
    978-1-4244-6962-8
  • Type

    conf

  • DOI
    10.1109/ICCNT.2010.126
  • Filename
    5474454