NegotiaToR: Towards A Simple Yet Effective On-demand Reconfigurable Datacenter Network
Cong Liang, Xiangli Song, Jing Cheng, Mowei Wang, Yashe Liu, Zhenhua, Liu, Shizhen Zhao, Yong Cui

TL;DR
NegotiaToR is a simple, reconfigurable optical datacenter network architecture that uses on-demand scheduling to improve flow completion times and throughput, especially under heavy loads.
Contribution
It introduces a minimalist, on-demand reconfigurable DCN design compatible with flat topologies, optimizing for incasts and bypassing scheduling delays.
Findings
Achieves small mice flow FCT and high goodput in simulations.
Outperforms state-of-the-art traffic-oblivious designs in mice flow FCT.
Effective under heavy traffic loads.
Abstract
Recent advances in fast optical switching technology show promise in meeting the high goodput and low latency requirements of datacenter networks (DCN). We present NegotiaToR, a simple network architecture for optical reconfigurable DCNs that utilizes on-demand scheduling to handle dynamic traffic. In NegotiaToR, racks exchange scheduling messages through an in-band control plane and distributedly calculate non-conflicting paths from binary traffic demand information. Optimized for incasts, it also provides opportunities to bypass scheduling delays. NegotiaToR is compatible with prevalent flat topologies, and is tailored towards a minimalist design for on-demand reconfigurable DCNs, enhancing practicality. Through large-scale simulations, we show that NegotiaToR achieves both small mice flow completion time (FCT) and high goodput on two representative flat topologies, especially under…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
