• DocumentCode
    3600027
  • Title

    SSNF: Shared Datacenter Mechanism for Inter-datacenter Bulk Transfer

  • Author

    Yang Yu ; Wang Rong ; Wang Zhijun

  • Author_Institution
    China Unicom Res. Inst., Beijing, China
  • fYear
    2014
  • Firstpage
    184
  • Lastpage
    189
  • Abstract
    Cloud service providers (CSP) usually deploy geographically distributed data centers to improve QoS for colocated customers. Inter-Data center traffic constitutes almost half of the data center´s export traffic and occupies significant part of the operational cost. Many store-and-forward mechanisms have been proposed to improve the efficiency of inter-data center transfer. However, existing store-and-forward solutions to the inter-datacenter traffic problem need sufficient and suitable intermediate nodes for transferring data, which is much more difficult for both the small and the big CSPs. In this paper, we present a shared datacenter scheduling mechanism called SSNF, which focus on providing more idle intermediates to increase the transmission success ratio for the inter-datacenter traffic. In SSNF, CSPs share datacenters which have idle storage resource and provide these idle datacenters as intermediate nodes for other CSP´s data transmission. We compared our scheme with existing bulk data transfer mechanism under several different simulation settings. The results demonstrate our solution has a better transmission success ratio and achieves high efficiency for inter-datacenter traffic.
  • Keywords
    cloud computing; computer centres; CSP; QoS; SSNF mechanism; cloud service providers; geographically distributed data centers; inter-data center bulk transfer; inter-data center traffic; quality of service; shared data center mechanism; store-and-forward mechanism; Aerospace electronics; Algorithm design and analysis; Bandwidth; Data transfer; Peer-to-peer computing; Systems architecture; bulk transfers; inter-datacenter traffic; shared datacenter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Cloud and Big Data (CBD), 2014 Second International Conference on
  • Print_ISBN
    978-1-4799-8086-4
  • Type

    conf

  • DOI
    10.1109/CBD.2014.31
  • Filename
    7176091