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An edge-queued datagram service for all datacenter traffic

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EQDS claims to move queuing to senders and enforce delivery via receiver-driven grants, implemented with either a packet trimming backend (Intel Tofino, Nvidia, Broadcom) or an RTS fallback. Measured results: cuts TCP flow completion time ~2×, boosts NVMeOF throughput ~30%, single x86 core DPDK implementation saturates 100 Gb/s with 3 KB packets, kernel path ~50 Gb/s, Amazon test on 1,000 VMs shows baseline 9 ms incast buffering versus ~20 µs median added latency with EQDS, and 12-packet per-port buffers suffice with trimming.

AI-written summary · about

  1. 0:00Intro
  2. 2:30Datacenter networking toda
  3. 3:51EQDS: an edge-queued datagram
  4. 4:56Edge Queued Datagram Service
  5. 6:03EQDS concept: reordering & retransmissions
  6. 7:15EQDS concept: queuing disciplines
  7. 7:58EQDS building blocks
  8. 8:17NDP backend: small buffers + packet to
  9. 10:01RTS backend (1RMA) - no switch supp
  10. 10:34EQDS host API and tunnel protocol
  11. 12:06Deploying EQDS
  12. 12:44Disaggregated storage: reducing flow ca
  13. 13:22Incast: reducing latency at scale
  14. 14:09Sharing in clouds What happens if different VMs use conflictin
  15. 14:36Edge-Queued Datagram Service (EQDS) move buffering out of the network, into the en
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