Input%20Queued%20Switches:%20Cell%20Switching%20vs.%20Packet%20Switching - PowerPoint PPT Presentation

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Input%20Queued%20Switches:%20Cell%20Switching%20vs.%20Packet%20Switching

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Work Conserving. Waiting. Waiting PB Algorithms. Conclusion. 5 ... Conserving ... Work-conserving packet based algorithms can not be rate stable for all ... – PowerPoint PPT presentation

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Title: Input%20Queued%20Switches:%20Cell%20Switching%20vs.%20Packet%20Switching


1
Input Queued SwitchesCell Switching vs. Packet
Switching
  • Abtin Keshavarzian
  • Joint work with
  • Yashar Ganjali, Devavrat Shah
  • Stanford University

2
Background
Switching Fabric
  • Time is slotted
  • Data units of fixed size ? cells
  • Buffers at input ports (Input-Queued Switch)
  • To avoid HoL blocking , virtual output queues are
    used

3
Motivation
Switch
VOQ11
Combiner
VOQ1N
Splitter
VOQN1
VOQNN
  • Packets have different lengths
  • Splitter module
  • Combiner module (memory)
  • Packet delays are more important than Cell delays
  • Packet Based Scheduling algorithms

4
Outline
  • Cell based algorithms review
  • Stability concept
  • Maximum Weight Matching algorithm
  • Packet based algorithms
  • Packet-Based Algorithms
  • PB-MWM and its stability
  • PB Algorithms Classification
  • Work Conserving
  • Waiting
  • Waiting PB Algorithms
  • Conclusion

5
Notation Arrival rate
Switching Fabric
  • Number of cells arrived to VOQij up to
    time n
  • Number of cells departed from VOQij up
    to time n
  • Number of cells queued at VOQij at time
    n
  • (SLLN)
    almost surely

6
Admissibility and Rate Stability
  • The arrival rate matrix is
    admissible iff
  • A switch under a matching algorithm is stable
    (rate stable) if, almost surely,

7
MWM algorithm
  • A matching
  • MWM At each time slot, select the matching with
    maximum weight

8
MWM Stability
  • McKeown et al showed that
  • MWM is stable under i.i.d. Bernoulli traffic
  • Dai and Prabhakar using Fluid model technique
    showed
  • MWM is stable for any admissible traffic

N. McKeown,V. Ananthram, and J. Walrand,
Achieving 100 throughput in an input-queued
switch, INFOCOM 1996, pp. 296-302.
J. G. Dai and B. Prabhakar, The throughput of
data switches with or without speedup, INFOCOM
2000, pp. 556-564.
9
Outline
  • Cell based algorithms review
  • Stability concept
  • Maximum Weight Matching algorithm
  • Packet based algorithms
  • Packet-Based Algorithms
  • PB-MWM and its stability
  • Packet Based Algorithms Classification
  • Work Conserving
  • Waiting
  • Waiting Packet Based Algorithms
  • Conclusion

10
Packet-Based Switching
  • Once the scheduler starts transmitting the first
    cell of a packet, it continues until the whole
    packet is received at output port

11
Packet-Based Switching
  • Once the scheduler starts transmitting the first
    cell of a packet, it continues until the whole
    packet is received at output port

12
Packet-Based Switching
  • Once the scheduler starts transmitting the first
    cell of a packet, it continues until the whole
    packet is received at output port.

13
Cell-based to Packet-based
  • Consider cell-based algorithm X
  • At each time slot
  • Busy ports middle of sending a packet
  • Free ports i/o ports can be assigned freely
  • PB-X
  • Keep the assignments used by busy ports
  • Find a sub-matching for free ports using
    algorithm X.

14
Stability of PB-MWM
  • PB-MWM is stable under regenerative admissible
    traffic
  • Traffic is called regenerative if on average it
    requires a finite time to reach the state where
    all ports are free if it keeps using any fixed
    matching.
  • Bernoulli i.i.d. is a regenerative traffic.

M.A. Marsan, A. Bianco, P. Giaccone, E. Leonardi,
and F. Nari, Packet Scheduling in Input-Queued
Cell-based switches, INFOCOM 2001, pp. 1085-1094
15
Proof Outline
  • Matching m(n) is k-imperfect if
  • For PB-MWM
  • Lemma A scheduling algorithm is rate stable if
    the average value of its weight is larger than
    maximum weight matching minus a bounded constant.

16
Question
  • CB-MWM is stable under any admissible traffic
  • PB-MWM is stable under any admissible
    regenerative traffic.
  • Is the regenerative condition necessary?

17
Counter-example
18
Counter-example
19
Counter-example
20
Counter-example
21
Counter-example
22
Counter-example
23
Counter-example
24
Classification of PB algorithms
  • Work Conserving (non-waiting)
  • No input is left unmatched when it has a packet
    for an unmatched output.
  • Waiting
  • Input ports may wait (do not start sending a
    packet) for infinite number of time slots.
  • No work-conserving algorithm can be rate stable
    for all admissible traffic.

25
PB-wMWM
  • Switch runs at speedup
  • Maximum packet length L
  • If use usual
    PB-MWM
  • Else wait till all ports are free.
  • PB-wMWM is rate stable for any admissible traffic
    with known max packet length

26
Modified PB-wMWM
  • The packet length is not known but has bounded
    expectation
  • the maximum length of packets left when
    waiting starts during lth segment
  • Modified PB-wMWM is rate stable for any
    admissible traffic with bounded packet length

Segment 2
Segment 1
27
Conclusion
  • PB-MWM is rate stable under any admissible
    regenerative traffic.
  • Work-conserving packet based algorithms can not
    be rate stable for all admissible traffics
  • ? Waiting is essential
  • PB-wMWM and its modified version are stable under
    any admissible traffic (with bounded mean packet
    length)
  • Future work
  • Find simpler algorithms that are stable for any
    admissible traffic.

28
Fluid model
  • number of time slots matching m
    being used up to time n
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