Uno: A One-Stop Solution for Inter- and Intra-Datacenter Congestion Control and Reliable Connectivity
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arXiv
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| Format: | Preprint |
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2025
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| author | Bonato, Tommaso Abdous, Sepehr Kabbani, Abdul Ghalayini, Ahmad Gebara, Nadeen Lam, Terry Agarwal, Anup Chen, Tiancheng Yu, Zhuolong Taranov, Konstantin Elhaddad, Mahmoud De Sensi, Daniele Ghorbani, Soudeh Hoefler, Torsten |
| author_facet | Bonato, Tommaso Abdous, Sepehr Kabbani, Abdul Ghalayini, Ahmad Gebara, Nadeen Lam, Terry Agarwal, Anup Chen, Tiancheng Yu, Zhuolong Taranov, Konstantin Elhaddad, Mahmoud De Sensi, Daniele Ghorbani, Soudeh Hoefler, Torsten |
| contents | Cloud computing and AI workloads are driving unprecedented demand for efficient communication within and across datacenters. However, the coexistence of intra- and inter-datacenter traffic within datacenters plus the disparity between the RTTs of intra- and inter-datacenter networks complicates congestion management and traffic routing. Particularly, faster congestion responses of intra-datacenter traffic causes rate unfairness when competing with slower inter-datacenter flows. Additionally, inter-datacenter messages suffer from slow loss recovery and, thus, require reliability. Existing solutions overlook these challenges and handle inter- and intra-datacenter congestion with separate control loops or at different granularities. We propose Uno, a unified system for both inter- and intra-DC environments that integrates a transport protocol for rapid congestion reaction and fair rate control with a load balancing scheme that combines erasure coding and adaptive routing. Our findings show that Uno significantly improves the completion times of both inter- and intra-DC flows compared to state-of-the-art methods such as Gemini. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_15802 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Uno: A One-Stop Solution for Inter- and Intra-Datacenter Congestion Control and Reliable Connectivity Bonato, Tommaso Abdous, Sepehr Kabbani, Abdul Ghalayini, Ahmad Gebara, Nadeen Lam, Terry Agarwal, Anup Chen, Tiancheng Yu, Zhuolong Taranov, Konstantin Elhaddad, Mahmoud De Sensi, Daniele Ghorbani, Soudeh Hoefler, Torsten Networking and Internet Architecture C.2.2; C.2.3; C.2.5 Cloud computing and AI workloads are driving unprecedented demand for efficient communication within and across datacenters. However, the coexistence of intra- and inter-datacenter traffic within datacenters plus the disparity between the RTTs of intra- and inter-datacenter networks complicates congestion management and traffic routing. Particularly, faster congestion responses of intra-datacenter traffic causes rate unfairness when competing with slower inter-datacenter flows. Additionally, inter-datacenter messages suffer from slow loss recovery and, thus, require reliability. Existing solutions overlook these challenges and handle inter- and intra-datacenter congestion with separate control loops or at different granularities. We propose Uno, a unified system for both inter- and intra-DC environments that integrates a transport protocol for rapid congestion reaction and fair rate control with a load balancing scheme that combines erasure coding and adaptive routing. Our findings show that Uno significantly improves the completion times of both inter- and intra-DC flows compared to state-of-the-art methods such as Gemini. |
| title | Uno: A One-Stop Solution for Inter- and Intra-Datacenter Congestion Control and Reliable Connectivity |
| topic | Networking and Internet Architecture C.2.2; C.2.3; C.2.5 |
| url | https://arxiv.org/abs/2510.15802 |