Balancing Sdn Control Plane Availability and Traffic Engineering Efficiency in Data Centers

Many proposals have demonstrated the efficiency advantages of software-defined networking (SDN) in managing data center networks. Common practices employ centralized traffic engineering (TE) in the SDN control plane to optimize load balancing and throughput. Meanwhile, for high availability purposes, the control plane is partitioned to ensure the impact of a single faulty controller is contained. However, the interaction between these two aspects is often overlooked. In particular, we show that the current control plane partitioning approach leads to imbalanced link loads and degraded application performance. To address this issue, we propose virtual slicing, a new control plane partitioning scheme. Virtual slicing achieves desirable traffic engineering performance while retaining the availability guarantees from the current approach. Virtual slicing is implemented and evaluated with real-world and synthetic traffic traces on production spine-free data center networks. Results show that virtual slicing reduces tail link utilizations by up to 28.4 %, and improves flow completion times by up to 36 %.

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Publication Details

Published
2024-10-28
DOI
https://doi.org/10.1109/icnp61940.2024.10858573
Primary Topic
Cloud Computing and Resource Management
Type
article
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Balancing Sdn Control Plane Availability and Traffic Engineering Efficiency in Data Centers

Shawn Shuoshuo Chen, Wenfei Wu, Aditya Akella, Brian Chang et al.
Cloud Computing and Resource Management
article

Balancing Sdn Control Plane Availability and Traffic Engineering Efficiency in Data Centers

Shawn Shuoshuo Chen, Wenfei Wu, Aditya Akella, Brian Chang, Jiaxin Lin, Keqiang He, Mingyang Zhang
article en

Abstract

Many proposals have demonstrated the efficiency advantages of software-defined networking (SDN) in managing data center networks. Common practices employ centralized traffic engineering (TE) in the SDN control plane to optimize load balancing and throughput. Meanwhile, for high availability purposes, the control plane is partitioned to ensure the impact of a single faulty controller is contained. However, the interaction between these two aspects is often overlooked. In particular, we show that the current control plane partitioning approach leads to imbalanced link loads and degraded application performance. To address this issue, we propose virtual slicing, a new control plane partitioning scheme. Virtual slicing achieves desirable traffic engineering performance while retaining the availability guarantees from the current approach. Virtual slicing is implemented and evaluated with real-world and synthetic traffic traces on production spine-free data center networks. Results show that virtual slicing reduces tail link utilizations by up to 28.4 %, and improves flow completion times by up to 36 %.

Google (United States) (US), Shanghai Jiao Tong University (CN), Peking University (CN), Carnegie Mellon University (US), The University of Texas at Austin (US)
Openalex Percentile: Top 57%
Cloud Computing and Resource Management
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