• Corpus ID: 102350728

ReNets: Toward Statically Optimal Self-Adjusting Networks

@article{Avin2019ReNetsTS,
  title={ReNets: Toward Statically Optimal Self-Adjusting Networks},
  author={C. Avin and Stefan Schmid},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.03263}
}
This paper studies the design of self-adjusting networks whose topology dynamically adapts to the workload, in an online and demand-aware manner. This problem is motivated by emerging optical technologies which allow to reconfigure the datacenter topology at runtime. Our main contribution is ReNet, a self-adjusting network which maintains a balance between the benefits and costs of reconfigurations. In particular, we show that ReNets are statically optimal for arbitrary sparse communication… 

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