Things You Can Do in Budapest During Summer Time - PowerPoint PPT Presentation

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Things You Can Do in Budapest During Summer Time

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Statistics is like the bikini... Goal: Estimate the sample path of cross-traffic ... Should not allow queue to empty between probe packets. Small T for ... – PowerPoint PPT presentation

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Title: Things You Can Do in Budapest During Summer Time


1
Things You Can Do in Budapest During Summer Time
  • Aleksandar Kuzmanovic
  • Rice University Ericsson Traffic Lab
  • October 2001

2
Budapest
  • Buda-Pest
  • History
  • Architecture
  • Decadency
  • Ericsson Traffic Lab
  • Unix
  • Young people
  • Security

3
People
  • Ericsson Traffic Lab, Budapest
  • Andras Veres
  • EMULab, The University of Melbourne
  • Attila Pasztor, Darryl Veitch
  • Budapest University, Department of Physics
  • Gabor Simon, Gabor Vattay

4
My Goals
  • Modeling and reality?

5
Active Probing
  • Internal network
  • inaccessible
  • Poor understanding of
  • origins of complex
  • network dynamics
  • Statistics is like the bikini

Goal Estimate the sample path of cross-traffic
6
Background
  • Precise measurement infrastructure

One way delay (sec) -
Packet departure time (sec) -
7
Probing Uncertainty Principle
  • Should not allow queue to empty between probe
    packets
  • Small T for accurate measurements
  • but probe traffic would disturb cross-traffic
    (and overflow bottleneck buffer!)
  • Larger T leads to measurement uncertainties
  • queue could empty between probes

8
Theory
  • Lindleys equation
  • CT information imbedded in delay
  • Ideal case minimally backlogging condition QK99

9
Design Space
  • No time synchronization
  • between end points
  • 2.000.000.000
  • Delay difference
  • Non-intrusiveness
  • Stability

One way delay (sec) -
Time (sec) -
10
Probing scheme
11
Aside
  • Experiments on LAN
  • Time-sharing in Linux

Inter-arrival time (sec) -
Time (sec) -
12
Traffic Lab Experiment Setup
  • Tcpdump, iperf (HTTP, TCP), sender, receiver

13
Routes
  • Tech. University Budapest
  • 6 nec2.ttt.bme.hu (152.66.247.2)
  • 14.980 ms 14.212 ms 14.252 ms
  • Columbia University, NY
  • 16 bongo.comet.columbia.edu (128.59.
  • 64.210) 150.725 ms 127.967 ms
  • University of Melbourne
  • 23 potoroo.ee.mu.OZ.AU (128.250.76.186)
  • 384.271 ms 383.408 ms 382.977 ms
  • Houston, we have a problem -

One way delay (sec) -
Time (sec) -
14
Wide Area vs. Metropolitan Area Network
15
Cross Traffic EstimationSample Path
  • Differentiate
  • delay, know C
  • Cross traffic
  • from Budapest
  • to NY
  • iperf - 1 TCP
  • Probing traffic
  • from Budapest
  • to Melbourne

16
Cross Traffic EstimationMoving Average
17
Signs
  • Delay difference
  • two queues
  • two cases

18
Wide Area Network revisited
  • Differentiation btw.
  • primary (256K)
  • secondary
  • (transatlantic)
  • bottlenecks
  • Secondary traffic
  • underestimated
  • for Csec./256K

19
Primary Secondary Bottlenecks
  • LAN traffic
  • controllable
  • Separation
  • between
  • primary (256K)
  • secondary (LAN)
  • cross traffic

20
TCP Cross Traffic
  • Iperf (number of TCP connections 3)
  • delay decreases yet we see clusters of packet
    losses (queue size delaypck. loss?)

21
Role of packet sizes
  • change packet size

22
Bit/sec. vs. Packet/sec.
  • Up 540 Bytes
  • Down 60 Bytes
  • 540/60 9
  • 256Kbps9
  • 2.3Mbps
  • UDP 1500/3050
  • 256K50
  • 12.8Mbps
  • - 1.5M50
  • 75Mbps

23
Secondary Bottleneck
  • Difference of CT
  • estimate and tcpdump
  • CT followed by clusters
  • of packet losses

24
Role of TCP
  • Secondary CT (necessary
  • for losses) picks up
  • the periodicity of probe
  • traffic!
  • Through losses
  • Through delay
  • When phases match
  • Long burst of small
  • packets causes losses
  • on secondary bottleneck

25
Ongoing work
  • Short and long lived TCP connections
  • Heterogeneous TCP traffic

26
Conclusions
  • Scalable, edge-based tool for on-line network
    analysis, modeling, and measurement
  • Scheme for estimating sample path of adaptive
    cross-traffic
  • Differentiation between primary and secondary
    bottlenecks two queue model
  • Role of TCP (delay variation) and variable packet
    sizes
  • Low bit rate denial of service attack?
  • QoS in access networks (xDSL)

27
  • The End

28
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