• DocumentCode
    730983
  • Title

    STEM+: Allocating bandwidth fairly to tasks

  • Author

    Nikolaevskiy, Ilya ; Lukyanenko, Andrey ; Gurtov, Andrei

  • Author_Institution
    Aalto Univ., Aalto, Finland
  • fYear
    2015
  • fDate
    April 26 2015-May 1 2015
  • Firstpage
    67
  • Lastpage
    68
  • Abstract
    Fair sharing of bandwidth among tenants in datacenters is important to guarantee prompt execution while providing isolation between different jobs. Existing bandwidth allocation methods lack a concept of a task reflecting the dependency between allocations on links. Moreover, existing approaches do not consider the tenants to be smart individuals and lack understanding of a threat that strategic players can produce. In this work we introduce a Strategy-proof Task-Enforcement Mechanism (STEM) which is the only strategy-proof mechanism for datacenter allocation. It seamlessly utilizes task-aware models. While tenants are able to improve their allocations by relocating demands among links, it also improves the global allocation resulting into a strong Nash equilibrium among tenants. This is in contrast to pricing or Competitive Equilibrium from Equal Incomes (CEEI) which permits tenants to inflate their demands and in some cases loosing sharing-incentives. We extend STEM with STEM+ - a work-conserving allocation mechanism.
  • Keywords
    bandwidth allocation; computer centres; game theory; pricing; CEEI; STEM+; bandwidth allocation methods; competitive equilibrium-from-equal incomes; datacenter allocation; demand relocation; global allocation improvement; job isolation; link allocations; pricing; shared incentives; strategic players; strategy-proof task-enforcement mechanism; strong-Nash equilibrium; task-aware models; work-conserving allocation mechanism; Bandwidth; Channel allocation; Cloud computing; Conferences; Pricing; Resource management; Virtual machine monitors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2015.7179346
  • Filename
    7179346