Abstract

The software defined networking (SDN) allows separating control and data plane, which provides better network management and higher utilization for data center network. Among these topical applications in SDN, such as traffic engineering, QoS and network management, there is significant interest on

Highlights

  • Software defined networking (SDN) [1] has increasingly employed in data center

  • We propose an real-time elephant flow detection strategy aiming at improving the traffic measurement performance

  • SYSTEM DESIGN we briefly introduce the framework of elephant flow detection for software defined networking (SDN), and propose a useful realtime elephant flow detection strategy to effectively solve the conflict mentioned above

Read more

Summary

INTRODUCTION

Software defined networking (SDN) [1] has increasingly employed in data center. To reduce work load on control plane and improve the efficiency of traffic engineering, an elephant flow detection approach had been proposed by AR Curtis et al [6,7]. This approach is designed to allow aggressive use of wild-carded OpenFlow rules. The classifications based on flow features have higher accuracy, but it can not be in real-time This problem needs to be optimized, especially for data center network. We propose a real-time elephant flow detection strategy and define some metrics for flow detection that considers cost-sensitive. We propose an real-time elephant flow detection strategy aiming at improving the traffic measurement performance.

SYSTEM DESIGN
C10 C 00 C 00 C 01 C11
EXPERIMENTS
Performance evaluation
Findings
CONCLUSION
Full Text
Paper version not known

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 call

Disclaimer: 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.