• DocumentCode
    2813551
  • Title

    Finding the Near Workload Type between TPC-C and TPC-W Environments

  • Author

    Oh, Jeong Seok ; Choi, Kyung Suhk ; Kwon, Jeong Rock ; Lee, Sang Ho

  • Author_Institution
    Inst. of Gas Safety R&D, Korea Gas Safety Corp., Shiheung
  • fYear
    2008
  • fDate
    28-30 Aug. 2008
  • Firstpage
    334
  • Lastpage
    337
  • Abstract
    Database system can be performed more than a database application and shown peculiar workload characteristics as a database application. However, as a database system can be performed a lot of database applications, detecting workload characteristics might be more difficult. This paper proposes the method of finding near workload characteristics by mixed workloads. The workload find method is evaluated by the modified k-NN algorithm that is an extension of the existing the fuzzy k-NN algorithm. The modified k-NN algorithm measures how close workloads in TPC-C or TPC-W are to the mixed workloads between TPC-C and TPC-W. Furthermore, the result of our method is better than others for finding near workloads because its results are lower than others in the oscillation depending on the k parameter and the error rate. This study is able to contribute to finding similar information for providing autonomic database analysis and intelligent service in ubiquitous environments.
  • Keywords
    database management systems; fuzzy set theory; transaction processing; TPC-C; TPC-W; database application; fuzzy k-NN algorithm; workload find method; Benchmark testing; Classification algorithms; Data analysis; Data mining; Database systems; Deductive databases; Information analysis; Information technology; Nearest neighbor searches; Safety; database application; k-NN algorithm; workload characteristics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Convergence and Hybrid Information Technology, 2008. ICHIT '08. International Conference on
  • Conference_Location
    Daejeon
  • Print_ISBN
    978-0-7695-3328-5
  • Type

    conf

  • DOI
    10.1109/ICHIT.2008.216
  • Filename
    4622847