Mars: Near-Optimal Throughput with Shallow Buffers in Reconfigurable Datacenter Networks

Vamsi Addanki, Chen Avin, Stefan Schmid 0001. Mars: Near-Optimal Throughput with Shallow Buffers in Reconfigurable Datacenter Networks. In Evgenia Smirni, Konstantin Avrachenkov, Phillipa Gill, Bhuvan Urgaonkar, editors, Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2023, Orlando, FL, USA, June 19-23, 2023. pages 3-4, ACM, 2023. [doi]

@inproceedings{AddankiA023,
  title = {Mars: Near-Optimal Throughput with Shallow Buffers in Reconfigurable Datacenter Networks},
  author = {Vamsi Addanki and Chen Avin and Stefan Schmid 0001},
  year = {2023},
  doi = {10.1145/3578338.3593551},
  url = {https://doi.org/10.1145/3578338.3593551},
  researchr = {https://researchr.org/publication/AddankiA023},
  cites = {0},
  citedby = {0},
  pages = {3-4},
  booktitle = {Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2023, Orlando, FL, USA, June 19-23, 2023},
  editor = {Evgenia Smirni and Konstantin Avrachenkov and Phillipa Gill and Bhuvan Urgaonkar},
  publisher = {ACM},
}