• DocumentCode
    722557
  • Title

    QAMO-SDN: QoS aware Multipath TCP for software defined optical networks

  • Author

    Tariq, Sana ; Bassiouni, Mostafa

  • Author_Institution
    Dept. of Elec. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
  • fYear
    2015
  • fDate
    9-12 Jan. 2015
  • Firstpage
    485
  • Lastpage
    491
  • Abstract
    Cloud based datacenters will be most suitable candidates for future software defined networking. The QoS requirements for shared data centers, hosting diverse applications could be successfully achieved through SDN architecture. This paper provides an extension of our previously proposed scheme QAMO that was aimed at achieving tangible QoS in datacenters through controlling bandwidth reservation in Multipath TCP and OBS layer while maintaining throughput efficiency. However, QAMO was designed for traditional networks and did not have the capability to adapt to current network status as expected from future software defined networks. The paper presents an enhanced algorithm called QAMO-SDN that introduces a controller layer in previously proposed architecture and achieves adaptive QoS differentiation based on current network feedback. QAMO-SDN inherits the architecture of QAMO, using Multipath TCP over OBS networks. We evaluate the performance of QAMO-SDN under different network loads and topologies using realistic data center traffic models and present the results of our detailed simulation tests.
  • Keywords
    optical communication; software defined networking; transport protocols; OBS networks; QAMO-SDN; QoS aware multipath TCP; SDN architecture; cloud based datacenters; realistic data center traffic models; software defined optical networks; Bandwidth; Computer architecture; Optical fiber networks; Quality of service; Software defined networking; Throughput; Topology; MPTCP; OBS; QoS; SDN; TCP; all-optical network; data center;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2015 12th Annual IEEE
  • Conference_Location
    Las Vegas, NV
  • ISSN
    2331-9860
  • Print_ISBN
    978-1-4799-6389-8
  • Type

    conf

  • DOI
    10.1109/CCNC.2015.7158023
  • Filename
    7158023