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Orca: Server-assisted Multicast for Datacenter Networks

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Orca claims a practical multicast primitive for datacenters that splits forwarding work between switches and servers, implements a controller plus per-rack Orca agent, and runs on a testbed and large simulation. It builds label formats that are fixed-size (about 19 bytes fixed label), pushes leaf label resolution to servers, and replicates tiny per-rack state for fault tolerance. Evaluation on a 27,648-host simulation with 1M sessions and a testbed shows reduces switch state by up to two orders of magnitude and zero redundant traffic.

AI-written summary · about

  1. 0:00Intro
  2. 0:36Group Communication in Datacenters
  3. 1:48Multicast in Datacenter Networks Can benefit from multicast
  4. 3:03Challenges of Multicast Forwarding in DCNS Large-scale multi-tenant environmen
  5. 4:57Our Goal
  6. 7:30Our Approach
  7. 7:54Orca Labels
  8. 8:44Orca: Leaf Labels • Leaf switch forwards multicast packets to Orca Agent
  9. 9:15Orca: Source Label
  10. 10:30Orca Architecture
  11. 11:49Fault-tolerant Forwarding
  12. 12:53Evaluation using Simulations A Leaf-spine topology with 27K hosts
  13. 13:50Orca vs Elmo
  14. 15:46Evaluation in a Testbed
  15. 16:00Benefits of Orca to Applications
  16. 17:21Agent Scalability
  17. 17:47Conclusions Orca is an efficient multicast system for DCNS • The key idea is to move parts of forwarding to servers
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