• DocumentCode
    3433650
  • Title

    ACE: a resource-aware adaptive compression environment

  • Author

    Sucu, Sezgin ; Krintz, Chandra

  • Author_Institution
    Dept. of Comput. Sci., California Univ., Santa Barbara, CA, USA
  • fYear
    2003
  • fDate
    28-30 April 2003
  • Firstpage
    183
  • Lastpage
    188
  • Abstract
    We present an adaptive compression environment (ACE) that uses both underlying resource performance (network and CPU) predictions and the compressibility of the data stream to perform on-the-fly compression. ACE couples technologies from computational grid computing and dynamic compilation research to predict the efficacy of using compression and to intercept and compress socket-based communication transparently. Our results show that ACE is able to accurately determine when to compress and not to compress. Over all file formats studied, ACE enables significant improvements over solely performing compression or no compression.
  • Keywords
    data compression; file organisation; grid computing; ACE; computational grid computing; data stream; dynamic compilation; file formats; on-the-fly compression; resource performance predictions; resource-aware adaptive compression environment; socket-based communication; Bandwidth; Central Processing Unit; Computer networks; Costs; Dynamic compiler; Grid computing; Internet; Java; Runtime; Sockets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: Coding and Computing [Computers and Communications], 2003. Proceedings. ITCC 2003. International Conference on
  • Print_ISBN
    0-7695-1916-4
  • Type

    conf

  • DOI
    10.1109/ITCC.2003.1197523
  • Filename
    1197523