Modeling Network Coded TCP Throughput: A Simple Model and its Validation

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Modeling Network Coded TCP Throughput: A Simple Model and its Validation

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Title: Modeling Network Coded TCP Throughput: A Simple Model and its Validation


1
Modeling Network Coded TCP ThroughputA Simple
Model and its Validation
MinJi Kim, Muriel Médard, João
Barros Massachusetts Institute of
Technology University of Porto
2
TCP in Wireless
  • TCP the dominant protocol in todays network
  • TCPs congestion control
  • Designed for wireline
  • Mistakes erasures/fading in wireless as
    congestion, leading to performance degradation in
    wireless setting
  • Use network coding to improve performance

Loss rate
3
Network Coding with TCP (TCP/NC)
  • Random linear network coding masks link losses
    from TCP in order to prevent unnecessary
    back-off.
  • Translates the losses as longer round trip time.
  • ACK design that accounts for mixing (coding) of
    packets with each other.
  • ACK every innovative linear combination, even if
    it does not reveal a packet immediately.
  • For every packet coming from TCP, coding layer
    transmits R (gt1) random linear combinations of
    buffered packets to IP

Redundancy factor
4
Main Idea of TCP/NC
  • TCP mistakes losses as congestion Window closing
    due to
  • Triple-duplicate ACKs.
  • Time-out.
  • TCP/NC substitutes the lost packets with
    subsequent packets avoiding window closing.

5
Example No losses
sender window
TCP
TCP/NC
sender window
p1
Sp
p1 p2 p3
p1 p2 p3
Sp
p2
ACK(p1)
SEEN(1)
Sp
p3
ACK(p2)
SEEN(2)
ACK(p3)
SEEN(3)
p4 p5 p6 p7
p4 p5 p6 p7
p4
Sp
p5
ACK(p5)
SEEN(4)
Sp
p6
ACK(p5)
SEEN(5)
Sp
p7
ACK(p6)
SEEN(6)
Sp
ACK(p7)
SEEN(7)
  • Increment window by 1
  • Sliding window

When no losses, network coding doesnt provide
benefits (erasure correction)
6
Example Random losses (Triple-Duplicate ACKs)
sender window
TCP
TCP/NC
sender window
p1
Sp
p1 p2 p3 p4
p1 p2 p3 p4
Sp
p2
ACK(p1)
SEEN(1)
Sp
p3
p4
Sp
ACK(p1)
SEEN(2)
SEEN(3)
ACK(p1)
p4 p5 p6 p7
p2 p3 p4 p5
p5
Sp
SEEN(4)
Sp
ACK(p1)
SEEN(5)
Sp
SEEN(6)
Sp
p2 p3
SEEN(7)
Triple-duplicate ACKs!
p7 p8 p9 p10 p11
Window closingW ? W/2
p8 p9 p10 p11 p12
Prevents random losses being interpreted as
congestion!
  • Cant increment window by 1
  • Partial sliding window

There is a lag in the SEEN acks To avoid lag,
introduce redundancy!
7
Example Congestion/Correlated losses (Time-outs)
sender window
TCP
TCP/NC
sender window
p1
Sp
p1 p2 p3 p4
p1 p2 p3 p4
Sp
p2
ACK(p1)
SEEN(1)
Sp
p3
p4
Sp
p2 p3 p4 p5
p2 p3 p4 p5
Waiting
Waiting
p2
p2
Time-out!
Time-out!
Window closingW ? 1
Window closingW ? 1
Still allows congestion control while masking
random losses!
8
Analysis and Simulations
  • Based on Padhye et al.s model (correlated losses
    to model congestion).

Degrades super-linearly
If redundancy R appropriately chosen, scales
with window size. R 1/(1-p) theoretically
optimal, which we verify experimentally as well.
End-to-end loss rate p(1-q)4
9
Analysis for TCP
  • TD triple-duplicate ACKs
  • TO timeout
  • Each round consists of
  • Sender sends packets in its cwnd
  • Sender waits for ACKs
  • Sender receives at least one ACK for the packets
    sent
  • Consider two loss (TD or TO) events e.g. round
    j to round jr
  • Expected of successfully sent packets in those
    r rounds (given p) is
  • Expected value of r is
  • By taking into account the time-out period and
    exponential back-offs

10
Analysis for TCP/NC
Network coding allows out of order packets to be
delivered as consecutive degrees of freedom ?
effectively allowing Selective ACKs (SACK)
  • Window progresses despite loss events
  • Every round, expected window growth is
  • The expected throughput is average of per round
    throughput (expected window/RTT)

11
Simulations using NS-2
p
assume lossless links
  • Max achievable throughput (per flow) 0.5 Mbps
  • Each plot/data point is averaged over 100
    simulation runs, each 1000 seconds long
  • Erasures only at last hop, i.e. wireless
  • End-to-end encoding
  • There can be further throughput and energy
    benefits by using re-encoding

12
Throughput Gains Using TCP/NC
TCP/NC is able to grow its throughput and
maintain high rate despite losses.
TCPs window size is larger compared to its
actual throughput TCP sender is waiting for
ACKs.
13
Redundancy Factor R
  • p 0.0963 ? 1/(1-p) 1.107
  • Throughput increases dramatically, and the
    connection stabilizes when R 1.12 (which is
    only 1 more than 1/(1-p))

14
Congestion Control with TCP/NC
  • p 0.0963, R 1.2
  • Capacity 0.9 Mbps
  • Two connections NC0 and NC1 share the connection
    fairly (each 0.37 Mbps)
  • TCP/NC allows congestion control while masks
    erasure!

15
Conclusions
  • For TCP
  • random losses (e.g. wireless) have similar effect
    as correlated/bursty losses, since TCP treats any
    losses as congestion.
  • For TCP/NC
  • throughput decreases proportional to loss rate
  • when there are enough correlated losses, TCP/NC
    would time-out and reduce rate to avoid
    congestion.
  • Therefore, TCP/NC is able to maintain high
    throughput in lossy networks making it suitable
    for reliable communication in wireless networks.

16
Extra Slides
17
TCP using network coding
Redundancy factor
  • Coding layer buffers packets given by TCP
  • For every packet coming from TCP, coding layer
    transmits R (gt1) random linear combinations of
    buffered packets to IP
  • Acknowledgment ACK a packet upon seeing it (even
    before it is decoded)
  • Can do this at intermediate nodes as well in a
    daisy chain (tandem) network
  • Optional feature Re-encoding at intermediate
    nodes.
  • We shall focus on no re-encoding today
    end-to-end coding. Sundararajan et al. 09 10

18
TCP using Network Coding
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