• DocumentCode
    584539
  • Title

    Research on K-Means Algorithm Based on Cloud Computing

  • Author

    Liu, Shuping ; Cheng, Yanliu

  • Author_Institution
    North China Electr. Power Univ., Baoding, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    1762
  • Lastpage
    1765
  • Abstract
    With the continuous advance of the smart grid, power enterprises accumulated massive data. In order to avoid the appearance of the data grave, data mining algorithms are used to do mining for massive data. However, if traditional mining algorithms are used to handle massive data, their processing performance encounters a bottleneck. The k-means algorithm based on cloud computing is implemented in this paper. And then the algorithm is compared with the traditional k-means algorithm. The results show that the k-means algorithm based on cloud computing is suitable for handling massive data.
  • Keywords
    cloud computing; data handling; data mining; electricity supply industry; power engineering computing; smart power grids; cloud computing; data grave; data mining algorithms; massive data handling; parallel k-means algorithm; power enterprises; smart grid; Algorithm design and analysis; Cloud computing; Clustering algorithms; Computers; Data mining; Parallel processing; Smart grids; MapReduce parallel computing framework; cloud computing; parallel k-means algorithm; serial k-means algorithm; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.440
  • Filename
    6394759