• DocumentCode
    1925994
  • Title

    D4D: Inter-datacenter Bulk Transfers with ISP Friendliness

  • Author

    Li, Yangyang ; Wang, Hongbo ; Zhang, Peng ; Dong, Jiankang ; Cheng, Shiduan

  • Author_Institution
    State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    24-28 Sept. 2012
  • Firstpage
    597
  • Lastpage
    600
  • Abstract
    Cloud infrastructure providers (CIPs) usually build a large number of geo-distributed data centers to cater to the recent proliferation of Cloud Computing. The CIPs commonly use multiple internet service providers (ISPs) to interconnect their geo-distributed data centers. Diurnal patterns and leftover bandwidth were effectively exploited by past studies to improve bandwidth utilization and minimize cost on inter-data center traffic. However, the growing number of inter-domain traffic was neglected. Inter-domain communications may become the potential bottleneck of inter-data center bulk transfers. Moreover, the rising inter-domain traffic increases the ISP operational cost, which will be not beneficial to reduce the CIPs´ bandwidth cost or improve the quality of services over a long run. In this paper, we present a scheduling scheme that considers both bandwidth utilization and ISPs friendliness via a store-and-forward mechanism. The problem is modeled on a time-expanded graph. We compared our scheme with general bulk transfers mechanism under several different simulation settings. The results demonstrate that our strategy reduces the inter-domain traffic tremendously and achieves the ISP-friendliness significantly.
  • Keywords
    cloud computing; distributed processing; geographic information systems; graph theory; CIP; D4D; Diurnal patterns; ISP friendliness; Internet service providers; bandwidth utilization; bulk transfers mechanism; cloud computing; cloud infrastructure providers; geodistributed data centers; inter datacenter bulk transfers; leftover bandwidth; time expanded graph; Bandwidth; Cloud computing; Data models; Delay; Equations; Mathematical model; ISP friendly; bulk transfers; inter-datacenter traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing (CLUSTER), 2012 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2422-9
  • Type

    conf

  • DOI
    10.1109/CLUSTER.2012.44
  • Filename
    6337831