• DocumentCode
    2765887
  • Title

    Topology Aggregation for E-science Networks

  • Author

    Jung, Eun-Sung ; Ranka, Sanjay ; Sahni, Sartaj

  • Author_Institution
    Comput. & Inf. Sci. & Eng. Dept., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2010
  • fDate
    17-20 May 2010
  • Firstpage
    530
  • Lastpage
    533
  • Abstract
    We propose several algorithms for topology aggregation (TA) to effectively summarize large-scale networks. These TA techniques are shown to significantly better for path requests in e-Science that may consist of simultaneous reservation of multiple paths and/or simultaneous reservation for multiple requests. Our extensive simulation demonstrates the benefits of our algorithms both in terms of accuracy and performance.
  • Keywords
    Cloud computing; Computer networks; Distributed computing; Grid computing; Information science; Large-scale systems; Network topology; Partitioning algorithms; Processor scheduling; Scheduling algorithm; EScience; Multi-domain routing; Topology aggregation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2010 10th IEEE/ACM International Conference on
  • Conference_Location
    Melbourne, Australia
  • Print_ISBN
    978-1-4244-6987-1
  • Type

    conf

  • DOI
    10.1109/CCGRID.2010.113
  • Filename
    5493442