• DocumentCode
    1700119
  • Title

    Inspecting the performance of packet schedulers over a large-scale OpenFlow-based network

  • Author

    Tseng-Yi Chen ; Shih-Wen Hsu ; Han-Chieh Chao ; Yung-Chun Chang ; Heng-Yin Chen ; Yu-Chun Cheng ; Wei-Kuan Shih

  • Author_Institution
    Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2015
  • Firstpage
    441
  • Lastpage
    445
  • Abstract
    Owing to the demand of high performance computing applications, network throughput becomes a critical bottleneck when data are stored in high I/O performance storage devices, such as non-volatile memory, solid-state disk, and RAM-based disk. To increase network throughput, a brand new technology called Software-defined networking (SDN) has been proposed for high bandwidth applications. Many data centers therefore upgrade their network infrastructures to support the SDN technology. However, the best performance of the SDN technology only can be gained when the SDN system employs an appropriate packet-flow scheduler to serve the applications in the SDN environment. Finding the best settings of the packet-flow scheduler in the SDN environment, this study constructs a large-scale test-bed to simulate the packet flow in the SDN environment. In the test-bed, we investigate the capability of a packet-flow scheduler in the SDN controller while the scheduler employs different scheduling algorithms under different network workloads. The experimental results suggest what kind of scheduling algorithms should be utilized under the network workloads.
  • Keywords
    computer centres; software defined networking; RAM-based disk; SDN technology; data centers; high I-O performance storage devices; high performance computing applications; large-scale OpenFlow-based network; network throughput; network workloads; nonvolatile memory; packet-flow scheduler; software-defined networking; solid-state disk; Bandwidth; Computer architecture; Protocols; Scheduling algorithms; Software; Switches; Software-defined networking; large-scale; packet scheduling; test-bed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaboration Technologies and Systems (CTS), 2015 International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4673-7647-1
  • Type

    conf

  • DOI
    10.1109/CTS.2015.7210463
  • Filename
    7210463