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NegotiaToR: Towards A Simple Yet Effective On-demand Reconfigurable Datacenter Network

Authors :
Liang, Cong
Song, Xiangli
Cheng, Jing
Wang, Mowei
Liu, Yashe
Liu, Zhenhua
Zhao, Shizhen
Cui, Yong
Publication Year :
2024

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 heavy loads. Particularly, the FCT of mice flows is one to two orders of magnitude better than the state-of-the-art traffic-oblivious reconfigurable DCN design.<br />Comment: This paper is accepted by ACM SIGCOMM 2024

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2407.20045
Document Type :
Working Paper
Full Text :
https://doi.org/10.1145/3651890.3672222