Abstract
Traffic patterns in data center network (DCN) may have distinguished features in a graph view. The traffic patterns may vary by time in DCN, and network topology reconstruction may help to adapt these dynamic traffic patterns. Traditional network scheduling may ignore the feature of patterns, which results in performance deteriorations. Optical DCN with multidimension resources may provide topology flexibility. If the multidimension resource scheduling problem is modeled as topology reconstruction by time, it may benefit the dynamic traffic patterns. To achieve this goal, this paper used a graph sequence to represent the time-varying network topology, and then a graph sequence based scheduling (GSS) algorithm has been proposed to optimize the traffic patterns. By simulation on our network modeling tool, the effectiveness on lowering latency and maximizing the link utilization of GSS has been verified.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
