• DocumentCode
    3459325
  • Title

    A Structure for Sliding Window Equijoins in Data Stream Processing

  • Author

    Hyeon Gyu Kim

  • Author_Institution
    Div. of Comput., Sahmyook Univ., Seoul, South Korea
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    100
  • Lastpage
    103
  • Abstract
    Sliding window equijoins are commonly used in data stream applications. In their implementation, a hash table is generally allocated for each stream source. However, this structure may degrade join performance because all tuples in the hash tables need to be scanned to find expired tuples whenever windows are updated periodically. This paper presents an alternative structure to improve the performance of sliding window equijoins. The basic idea of the proposed method is to allocate a hash table for each set of tuples arriving for a window slide interval. This organization facilitates the identification of expired tuples and improves the join performance, which we observed through our experimental results.
  • Keywords
    data mining; file organisation; data stream processing; expired tuples identification; hash table allocation; sliding window equijoins; stream source; window slide interval; Aggregates; Databases; Organizations; Probes; Semantics; Silicon; XML; Sliding windows; data streams; symmetric hash joins; window joins; windowing structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2013 IEEE 16th International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/CSE.2013.25
  • Filename
    6755203