• DocumentCode
    2050658
  • Title

    Improving I/O Forwarding Throughput with Data Compression

  • Author

    Welton, Benjamin ; Kimpe, Dries ; Cope, Jason ; Patrick, Christina M. ; Iskra, Kamil ; Ross, Robert

  • Author_Institution
    Math. & Comput. Sci. Div., Argonne Nat. Lab., Argonne, IL, USA
  • fYear
    2011
  • fDate
    26-30 Sept. 2011
  • Firstpage
    438
  • Lastpage
    445
  • Abstract
    While network bandwidth is steadily increasing, it is doing so at a much slower rate than the corresponding increase in CPU performance. This trend has widened the gap between CPU and network speed. In this paper, we investigate improvements to I/O performance by exploiting this gap. We harness idle CPU resources to compress network traffic, reducing the amount of data transferred over the network and increasing effective network bandwidth. We created a set of compression services within the I/O Forwarding Scalability Layer. These services transparently compress and decompress data as it is transferred over the network. We studied the effect of the compression services on a variety of data sets and conducted experiments on a high-performance computing cluster.
  • Keywords
    computer networks; data compression; input-output programs; CPU; I/O forwarding scalability layer; I/O forwarding throughput improvement; data compression; network bandwidth; network speed; network traffic; Bandwidth; Benchmark testing; Data compression; Libraries; Random access memory; Servers; Throughput; I/O Forwarding; Scientific Data Compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing (CLUSTER), 2011 IEEE International Conference on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4577-1355-2
  • Electronic_ISBN
    978-0-7695-4516-5
  • Type

    conf

  • DOI
    10.1109/CLUSTER.2011.80
  • Filename
    6061075