NegotiaToR: Toward a Simple Yet Effective On-Demand Reconfigurable Datacenter Network

View at publisher
Authors: C. H. Liang, Xiangli Song, Jing Cheng, Rui Xu, Mowei Wang, Yashe Liu, Zhenhua Liu, Shizhen Zhao, Yong Cui
Cited by: 0
References: 51

Abstract

Recent advances in fast optical switching show promise in meeting the high goodput and low latency requirements of datacenter networks. 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 and high goodput on two representative flat topologies, especially under heavy loads. Particularly, the flow completion time of mice flows is one to two orders of magnitude better than the state-of-the-art traffic-oblivious reconfigurable DCN design.

Fields of Study & Subjects

Cloud Computing and Resource Management Software-Defined Networks and 5G Advanced Optical Network Technologies

Publication details

Journal / source
IEEE Transactions on Networking
Volume
34
Pages
3075–3090
Publication date
1 January 2026