• DocumentCode
    3706753
  • Title

    A High-Performance DSM Leveraging Software Defined Network

  • Author

    Gao Qiang;Tong Weiqin;Samina Kausar

  • Author_Institution
    Sch. of Comput. Eng. &
  • fYear
    2015
  • Firstpage
    105
  • Lastpage
    110
  • Abstract
    Distributed shared memory(DSM) is an implementation of the shared memory model in distributed systems. Software-defined networking (SDN), can be effectively exploited to improve the performance of DSM. In this research, we propose an SDN-based distributed shared memory architecture. This architecture improves distributed applications by tuning network transmission and offloading functionality to the underlying network. We present a dynamic SDN multicast mechanism to reduce the number of consistency-related messages without interfering the unrelated processes in the same multicast group. In addition to these, we design a state-aware transmission mechanism that reduces the contention delays by using multicast communication. Furthermore, a novel write-update mechanism based on SDN orderly multicast is presented. The experiments on the prototype system show that the distributed applications using SDN-based DSM yield remarkable performance improvements. Moreover, this type of prototype system is feasible to implement on existing hardware.
  • Keywords
    "Servers","Delays","Big data","IP networks","Computers","Arrays"
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Workshops (ICPPW), 2015 44th International Conference on
  • ISSN
    1530-2016
  • Type

    conf

  • DOI
    10.1109/ICPPW.2015.43
  • Filename
    7349901