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The network: mesh

Routing without Flow Control Costas Busch Rensselaer Polytechnic Institute Maurice Herlihy Brown University Roger Wattenhofer Microsoft Research. The network: mesh. Discrete time Bi-directional links At most one packet per link direction. Dynamic Routing:.

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The network: mesh

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  1. Routing without Flow ControlCostas BuschRensselaer Polytechnic InstituteMaurice HerlihyBrown UniversityRoger WattenhoferMicrosoft Research

  2. The network: mesh • Discrete time • Bi-directional links • At most one packet per link direction

  3. Dynamic Routing: Packets are injected continuously destination

  4. A new packet can be injected when there is a free link: A link direction is empty

  5. Most dynamic routing algorithms use flow control: Don’t utilize all the free links Disadvantage: Network is under-utilized

  6. Our Routing Algorithm: • No flow control • Utilizes all the free links Advantage: Network is fully-utilized

  7. Features of our algorithm: • Dynamic • Hot potato • Optimal delivery time: • Injection time guaranty:

  8. Talk Outline • The Algorithm • Time Analysis • Stability • Future Work

  9. Hot-Potato Routing: • Nodes are buffer-less • Packets are immediately forwarded

  10. Conflicts

  11. Conflicts Conflict

  12. Conflicts Deflected

  13. Priorities: high low Packet states: Running Excited Active Sleeping

  14. Sleeping packet destination Random destination

  15. Sleeping packet destination Follows a path to destination

  16. Sleeping packet becomes Active with probability

  17. Active packet Follows a greedy path

  18. Active packet Follows a greedy path

  19. Active packet A conflict situation

  20. Active packet Conflict A conflict situation

  21. Active packet Deflected A conflict situation

  22. Active packet becomes Excited with probability Deflected A conflict situation

  23. Excited packet Follows a one-bend path

  24. Excited packet becomes Running Follows a one-bend path

  25. Running packet Follows a one-bend path

  26. Talk Outline • The Algorithm • Time Analysis • Stability • Future Work

  27. Good condition for a column: at most non-sleeping packets with destination in the column

  28. Expected delivery time for one packet: (when the destination column is in good condition)

  29. In expected time steps becomes active We will show: An active packet is delivered in expected time steps Initially a packet is sleeping

  30. Interrupting a one-bend path Excited Time 1

  31. Interrupting a one-bend path Running Time 2

  32. Interrupting a one-bend path Excited Running Time 2

  33. Interrupting a one-bend path Running Running Time 3

  34. Interrupting a one-bend path Running conflict Running Time 4

  35. Interrupting a one-bend path deflected Active Running Time 5

  36. No interruption probability: Excitement probability Number of non-sleeping packets with destinations in same column

  37. No interruption probability: constant (when the destination column is in good condition)

  38. Expected number of deflections until success: Expected delivery time for an active packet: Probability of success after a deflection:

  39. Talk Outline • The Algorithm • Time Analysis • Stability • Future Work

  40. Divide time in time periods: Examine the condition of a column

  41. 1 time period Good condition Bad condition

  42. 1 time period Good condition Bad condition 4n time periods

  43. 1 time period Good condition Bad condition

  44. Proof Outline In a time period: • At most new non-sleeping • packets are generated with • destinations in the column • At least non-sleeping packets • are delivered (if )

  45. Good condition Bad condition 4n time periods

  46. Proof Outline In a time period: • At most new non-sleeping • packets are generated with • destinations in the column • At least non-sleeping packets • are delivered

  47. Consequences: • Most of the time, the columns • are in good condition • Each packet is delivered in • expected time

  48. Talk Outline • The Algorithm • Time Analysis • Stability • Future Work

  49. Arbitrary network topologies • De-randomization: • Determistic destinations • No randomized algorithm • Small number of packets

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