• DocumentCode
    3077228
  • Title

    A Novel Query Caching Scheme for Dynamic InfiniBand Subnets

  • Author

    Tasoulas, Evangelos ; Gran, Ernst Gunnar ; Johnsen, Bjorn Dag ; Skeie, Tor

  • fYear
    2015
  • fDate
    4-7 May 2015
  • Firstpage
    199
  • Lastpage
    210
  • Abstract
    In large InfiniBand subnets the Subnet Manager (SM) is a potential bottleneck. When an InfiniBand subnet grows in size, the number of paths between hosts increases polynomials and the SM may not be able to serve the network in a timely manner when many concurrent path resolution requests are received. This scalability challenge is further amplified in a dynamic virtualized cloud environment. When a Virtual Machine (VM) with InfiniBand interconnect live migrates, the VM addresses change. These address changes result in additional load to the SM as communicating peers send Subnet Administration (SA) path record queries to the SM to resolve new path characteristics. In this paper we benchmark OpenSM to empirically demonstrate the SM scalability problems. Then we show that our novel SA Path Record Query caching scheme significantly reduces the load towards the SM. In particular, we show by using the Reliable Datagram Socket protocol that only a single initial SA path query is needed per communicating peer, independent of any subsequent (re)connection attempts.
  • Keywords
    cache storage; cloud computing; query processing; virtual machines; OpenSM; SA; VM; dynamic infiniband subnets; dynamic virtualized cloud environment; query caching scheme; reliable datagram socket protocol; subnet administration; subnet manager; virtual machine; Benchmark testing; Hardware; Peer-to-peer computing; Performance evaluation; Scalability; Time factors; Virtualization; Cache; InfiniBand; Live Migration; Scalability; Subnet Administration; Subnet Manager; Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CCGrid.2015.10
  • Filename
    7152486