• DocumentCode
    167103
  • Title

    SDN-based multi-class QoS-guaranteed inter-data center traffic management

  • Author

    Wang, Jason Min ; Ying Wang ; Xiangming Dai ; Bensaou, Brahim

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    401
  • Lastpage
    406
  • Abstract
    When allocating network bandwidth to multiple classes of applications in inter-data center communication, coordination always yields a better utilization of the backbone network. Yet, it often comes at a prohibitively heavy computational and communication cost, making it thus far not a practically viable approach. SDN helped in bridging the communication cost gap by enabling centralized control, and SDN has been recently applied in such inter-DC traffic management. However, the computational cost is still an issue as the efficient and fast response of the centralized traffic engineering algorithm has become crucial to the practicality of such SDN-based approach. In this paper, we present MCTEQ, a utility-optimization-based joint-bandwidth allocation for inter-DC communication with multiple traffic classes, that handles priorities between traffic classes in a soft manner and explicitly considers the delay requirement of Interactive flows. MCTEQ being NP-hard, we apply approximation techniques to lean on the mature and efficient LP solver and obtain fast and accurate approximations. We demonstrate via experiments with Google´s inter-DC backbone topology that MCTEQ achieves about 160 Gbps higher network utilization than the existing SWAN solution, yet runs 2.5 times faster. In particular, MCTEQ guarantees that the allocated bandwidth for Interactive flows strictly meets their end-to-end delay requirements.
  • Keywords
    approximation theory; bandwidth allocation; computational complexity; computer centres; computer networks; optimisation; quality of service; telecommunication network topology; telecommunication traffic; Google interDC backbone topology; LP solver; MCTEQ; NP-hard; SDN-based multiclass QoS-guaranteed interdata center traffic management; approximation techniques; centralized traffic engineering algorithm; end-to-end delay requirements; interDC communication; interDC traffic management; interactive flow delay requirement; interdata center communication; network bandwidth allocation; network utilization; software-defined networking; utility-optimization-based joint-bandwidth allocation; Approximation methods; Irrigation; Quality of service; Servers; Three-dimensional displays; SDN; quality of service; traffic management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Networking (CloudNet), 2014 IEEE 3rd International Conference on
  • Conference_Location
    Luxembourg
  • Type

    conf

  • DOI
    10.1109/CloudNet.2014.6969028
  • Filename
    6969028