• DocumentCode
    3696596
  • Title

    Application and network performance of Amazon elastic compute cloud instances

  • Author

    Mehrin Gilani;Catherine Inibhunu;Qusay H. Mahmoud

  • Author_Institution
    Department of Electrical, Computer and Software Engineering, University of Ontario Institute of Technology, Oshawa, ON, Canada
  • fYear
    2015
  • Firstpage
    315
  • Lastpage
    318
  • Abstract
    The computing and networking infrastructure in public clouds is shared between multiple users and can create abnormal variations in the performance of applications running in cloud. In this paper we compare the performance of compute-intensive applications on CPUs and GPUs offered by Amazon´s cloud and show that not all applications exhibit speedups when executed on the GPU. Even for applications that exhibit speedup on the GPU, the overall application performance may be bottlenecked by network delay. For such cases, the high cost of GPU instances is inefficient since it does not improve application performance. We also show that the network performance of different instances can vary significantly overtime and public clouds may throttle network bandwidth for applications that generate significant network traffic.
  • Keywords
    "Graphics processing units","Cloud computing","Bandwidth","Central Processing Unit","Servers","Conferences","Time measurement"
  • Publisher
    ieee
  • Conference_Titel
    Cloud Networking (CloudNet), 2015 IEEE 4th International Conference on
  • Type

    conf

  • DOI
    10.1109/CloudNet.2015.7335328
  • Filename
    7335328