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Kandoo: a framework for efficient and scalable offloading of control applications

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Hassas Yeganeh, Soheil, Ganjali, Yashar·2012·Proceedings of the first workshop on Hot topics in software defined networks

Abstract

Limiting the overhead of frequent events on the control plane is essential for realizing a scalable Software-Defined Network. One way of limiting this overhead is to process frequent events in the data plane. This requires modifying switches and comes at the cost of visibility in the control plane. Taking an alternative route, we propose Kandoo, a framework for preserving scalability without changing switches. Kandoo has two layers of controllers: (i) the bottom layer is a group of controllers with no interconnection, and no knowledge of the network-wide state, and (ii) the top layer is a logically centralized controller that maintains the network-wide state. Controllers at the bottom layer run only local control applications (i.e., applications that can function using the state of a single switch) near datapaths. These controllers handle most of the frequent events and effectively shield the top layer. Kandoo's design enables network operators to replicate local controllers on demand and relieve the load on the top layer, which is the only potential bottleneck in terms of scalability. Our evaluations show that a network controlled by Kandoo has an order of magnitude lower control channel consumption compared to normal OpenFlow networks.

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Metadata

Authors
Hassas Yeganeh, S., & Ganjali, Y.
Venue
Proceedings of the first workshop on Hot topics in software defined networks
Publisher
ACM
Published
2012-08-13
Pages
19-24
OpenAlex
W2164336170
Cited by
641
References
15
FWCI
39.33
Type
conference paper
Language
en
Open access
gold

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CoChat. (2026). Citation check: Kandoo: a framework for efficient and scalable offloading of control applications. https://app.cochat.ai/papers/10.1145/2342441.2342446
The paper
Hassas Yeganeh, S., & Ganjali, Y. (2012). Kandoo: a framework for efficient and scalable offloading of control applications. Proceedings of the first workshop on Hot topics in software defined networks. https://doi.org/10.1145/2342441.2342446

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.