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1 Experimental assessment of BitTorrent Completion Time in Heterogeneous TCP/uTP swarms Claudio Testa Télécom ParisTech Dario Rossi – Télécom ParisTech Ashwin Rao – INRIA Planete Arnaud Legout – INRIA Planete 13th Passive and Active Measurement conference, TMA Workshop March 10-14, 2011 – Wien, Austria
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Page 1: Experimental assessment of BitTorrent Completion Time in ... · 1 Experimental assessment of BitTorrent Completion Time in Heterogeneous TCP/uTP swarms Claudio Testa – Télécom

1

Experimental assessment of BitTorrent Completion Time

in Heterogeneous TCP/uTP swarms

Claudio Testa – Télécom ParisTech

Dario Rossi – Télécom ParisTech Ashwin Rao – INRIA Planete

Arnaud Legout – INRIA Planete

13th Passive and Active Measurement conference,

TMA Workshop

March 10-14, 2011 – Wien, Austria

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Agenda

● Bufferbloat problem− BitTorrent solution: uTP − Loss vs Delay based congestion control

● Experimental setup− Scenario description− TCP/uTP preference

● Experimental results− Homogeneous ( all TCP / all uTP ) Swarm− Heterogeneous ( mixed TCP and uTP ) Swarm

● Conclusion● Future work

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Bufferbloat problem● Bufferbloat: excess buffering inside a network, causing high latency and reduced

throughput ● It occurs wherever there's a fast-to-slow transition in the network (most likely in

access for ADSL links) TCP data piling up delay-sensitive services unusable → → [1 ]

[1] BufferBloat: What's Wrong with the Internet?Communications of the ACM, Van Jacobson, Jim Gettys et al.,February 2012

TCP crosstraffic

ICMP ping

TCP crosstraffic

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BitTorrent solution: uTP

v3

Oct'10

v4

Mar'11 Jul'11

v5,6,7

Oct'11

v8,9

May'10

libuTPopen src

Jul'10

v2

2.0.2

Dec'10

2.2

Apr'11

3.0

Sep'11

3.1 α BitTorrentclient

IETFdraft

● Dec 2008: first uTP implementation in closed-source uTorrent client, later as BEP doc● Oct 2009: BitTorrent co-chair a IETF WG (LEDBAT) and submit Draft v1

Our research● 2009-2010: focus on LEDBAT/uTP on Congestion control viewpoint [PAM, TR, ICCCN, LCN]

● 2010-2011: focus on the BitTorrent swarm viewpoint [P2P]

v1

Oct'09Dec'08

uTPclosed src

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Loss vs Delay based Cong. Control

Detect congestion by losses

• Increment the congestion window

(cwnd) by one packet per RTT

• Halve cwnd on loss events

Consequences

• The buffer always fills up

• High delay for interactive apps

• Users need to prioritize traffic !

Infer via delay measurement

• Senders measure minimum delay

• Evaluate offset from TARGET delay

• React with linear controller

Aim

• At most TARGET ms of delay

• Lower priority than TCP

• Do not harm interactive application

• Avoid self-induced congestion

TCP uTP

cwn

d

time

losses

cwn

d

time

TARGETreached

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Scenario description● Grid’5000 controlled testbed

− Gbps LAN, emulated capacity & delay− One peer per host (no shared queues)− Linux uTorrent 3.0 client

Seed

1

2

75

...

● Experimental scenarios− Flash crowd, single provisioned Seed− 75 peers, never leave the system− same delay and capacity for all peers

● Focus on 4 cases− Homogeneous (all TCP / all uTP)− Heterogeneous (25% uTP / 75% uTP)

● Performance − Linux kernel queue length− Torrent completion time (QoE)− Closed source, so no chunk level log :(

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TCP/uTP preference (I)

● uTorrent TCP/uTP preferences

− bitmap semantic bt.transp_disposition flag− attempt outgoing: 1=TCP, 2=UDP − accept incoming: 4=TCP, 8=UDP− header format: 0=old, 16=new− Default = 31

Seed

A B

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TCP/uTP preference (2)

A B

Data ACK

TCP

uTP

TCP connection

uTP connection

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Homogeneous Swarm

Heterogeneous Swarm

all TCP peers all uTP peers

25% of uTP peers 75% of uTP peers

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Homogeneous: Queue

E[uTP]= 108ms

E[TCP]=385ms

● Homogeneous swarms: ( all TCP ) XOR ( all uTP ) peers, separate experiments at different times − Several repetitions (envelope report min & max)

● As expected, uTP limits queue length close to TARGET (set to 100ms)● TCP peers tend to fill the buffer, then encounter self-induced congestion● Both able to saturate the capacity as queue is non null

Same efficiency in data plane !

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Homogeneous: Completion Time● Homogeneous swarms: ( all TCP ) XOR ( all uTP ) peers, separate experiments at

different times

● Shorter queue length leads to faster signaling: awareness of content availability propagates faster !

● In turn, this assist in reducing the completion time● Hence about same efficiency in data plane

E[uTP]= 1345s

E[TCP]= 1421s

uTP more timely for control plane !

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Heterogeneous: Queue● Heterogeneous swarms: ( 25% uTP ) XOR ( 75% uTP ) peers

● Increasing percentage of TCP peers leads to higher queuing delay (by 50%)

E[25%uTP]=337ms

E[75%uTP] =203ms

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Heterogeneous: Completion Time● Heterogeneous swarms: ( 25% uTP ) XOR ( 75% uTP ) peers

● Fewer TCP traffic, lower delay (by 50%) and lower completion time (by 10%)● No difference in the completion time of uTP vs TCP peers

E[25%uTP]=1420sE[75%uTP] =1323s

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The complete picture● Completion Time as a function of Byte-wise TCP traffic share in many scenarios

● Completion time increases linearly with TCP byte share● Linear model applies :

− to swarms with mixed TCP and uTP peers− “all uTP” case does not follow the linear model (low priority in data plane ?)

● Homogeneous Default (31) settings leads to lower Completion times (small but non null amount of TCP traffic)

Default (31) : attempt & accept both TCP and uTP

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Conclusions

● Homogeneous− TCP and uTP have similar efficiency on the data plane− but very different buffer occupancy (hence delay)− timeliness in spreading the signalization info (control plane) yields to

lower completion time

● Heterogeneous− same consideration above applies− no difference in completion time of uTP vs TCP peers

● Keeping the queue short increases signaling efficiency !

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Future work (I) ● Parameter net.utp_target_delay can be changed in Windows client GUI

● In this work, TARGET is homogeneous and fixed to 100ms● Heterogeneous settings of TARGET among peers ?

TARGET=25ms TARGET=100ms

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Future work (2)

● Gather more information on experiments− Refine methodology (chunk level log)− uTP Wireshark parser

● uTP can help to mitigate Bufferbloat

− what about local AQM solutions− and interactions between uTP and AQM

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Fin

References● [PAM] D. Rossi, C. Testa and S. Valenti, Yes, we LEDBAT: Playing with the new BitTorrent congestion control algorithm. In Passive and

Active Measurement (PAM'10), Zurich, Switzerland, April 2010.

● [TR] G. Carofiglio, L. Muscariello, D. Rossi, C. Testa, S. Valenti, Rethinking low extra delay backtround transport protocols. Tech.Rep. 2010.

● [ICCCN] D. Rossi, C. Testa, S. Valenti and L. Muscariello, LEDBAT: the new BitTorrent congestion control protocol. In International Conference on Computer Communication Networks (ICCCN'10), Zurich, Switzerland, August 2-5 2010.

● [LCN] G. Carofiglio, L. Muscariello, D. Rossi and C. Testa, A hands-on Assessment of Transport Protocols with Lower than Best Effort Priority. In 35th IEEE Conference on Local Computer Networks (LCN'10), Denver, CO, USA, October 10-14 2010.

● [P2P] C. Testa and D. Rossi, The impact of uTP on BitTorrent completion time. In IEEE Peer to Peer (P2P'11), Kyoto, Japan, September 2011.

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The idea behind uTP@RX:

remote_timestamp = data_packet.timestamp

ack.delay = local_timestamp() - remote_timestamp

ack.send()

@TX:

current_delay = ack.delay

base_delay = min(delay, base_delay)

queuing_delay = current_delay - base_delay()

off_target = (TARGET - queuing_delay)/TARGET

cwnd += GAIN * off_target * bytes_newly_acked * MSS / cwnd

One-way delay

estimation

Feedback mechanism

Control mechanism (linear controller)

Note:

● lots of other details in the draft (e.g., route change, sample filtering, etc.) but not in today talk

● TARGET = 25ms (“magic number” fixed in draft v1), = 100ms (in BEP29), <= 100ms (from draft > v5)

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Homogeneous: Default settings

● Differences with all uTP/TCP:− intermediate Buffer

occupancy− lowest Completion Time

● Default settings has TCP Byte share of about 20%, which leads to the better performances


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