• DocumentCode
    3129265
  • Title

    Performance Evaluation of Cloud-Based Parallel Computing

  • Author

    Nakai, Yoko ; Perrin, Dimitri ; Ohsaki, Hiroyuki ; Walshe, Ray

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita, Japan
  • fYear
    2013
  • fDate
    22-26 July 2013
  • Firstpage
    351
  • Lastpage
    355
  • Abstract
    As computational models in fields such as medicine and engineering get more refined, resource requirements are increased. In a first instance, these needs have been satisfied using parallel computing and HPC clusters. However, such systems are often costly and lack flexibility. HPC users are therefore tempted to move to elastic HPC using cloud services. One difficulty in making this transition is that HPC and cloud systems are different, and performance may vary. The purpose of this study is to evaluate cloud services as a means to minimise both cost and computation time for large-scale simulations, and to identify which system properties have the most significant impact on performance. Our simulation results show that, while the performance of Virtual CPU (VCPU) is satisfactory, network throughput may lead to difficulties.
  • Keywords
    cloud computing; parallel processing; software performance evaluation; HPC clusters; VCPU; cloud-based parallel computing; elastic HPC; performance evaluation; resource requirements; virtual CPU; Analytical models; Cloud computing; Computational modeling; Degradation; Educational institutions; Partitioning algorithms; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference Workshops (COMPSACW), 2013 IEEE 37th Annual
  • Conference_Location
    Japan
  • Type

    conf

  • DOI
    10.1109/COMPSACW.2013.62
  • Filename
    6605815