My experiences results and remarks to tcp bw and ct measurements tools
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My Experiences, results and remarks to TCP BW and CT Measurements Tools. Jiří Navrátil SLAC. My interests concerns o n. How to achieve full BW utilization Analysis of Tools for BW estimation New methods of CT detection. Inspira tion Les Cottrell IEPM metrics

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My experiences results and remarks to tcp bw and ct measurements tools

My Experiences, results and remarks to TCP BW and CT Measurements Tools

Jiří Navrátil

SLAC


My interests concerns on

  • How to achieve full BW utilization

  • Analysis ofTools for BW estimation

  • New methods of CT detection


  • Inspiration

    • Les Cottrell IEPM metrics

    • Jin Gujun (LBNL) netest-2 recommendation

    • Feng Wu-Chun (LANL) simulations

    • Diana Katabi, Charles Blake (MIT) bottleneck detection


  • Area of saturation = area of full utilization

    • TCP windows size (not sufficient for HSL)

    • Parallel streams

    • combination



Nobig difference between speed for P2,P4,P8, ..




Internet path

Out

In

Virtual queue


Problems of slow and high loaded lines
Problems of slow and high loaded lines

  • All parallel streams share same “virtual queue”

  • All “my traffic” share same queue with outside CTvisible in statistics for “streams speed”visible in time reports (In iperf)



Conclusion:

The other TCP applications behave very similarly in same environment

But not all applications are so aggressive as Iperf !


Used tools for bw estimations
Used tools for BW estimations

  • Pathrate

  • Pathload

  • Iperf

  • Netest-2

  • Incite BWe

  • UDPmon


Short characteristic of methods
Short characteristic of methods

Patharate

+ accurate

- not very reliable, long run time

Pathload

+ accurate, fast, light

- limited range of operation ( < 155 Mbps)



Short characteristic of methods1
Short characteristic of methods

Iperf

+ reliable

- must be configured to use full BW and postprocessed

- heavy load of lines during operation

Netest-2

+ reliable, good reports

- must be configured to use full BW,

- accurate (different timing scheme)


INCITE: Edge-based Traffic Processing and Service Inference for High-Performance Networks

Richard Baraniuk, Rice University; Les Cottrell, SLAC; Wu-chun Feng, LANL

Incite

BW estimator


P2 for High-Performance Networks

P1

BWe ~f(VQ) =f(dTR) dTR <0,RTT>

dTS

(20 ms)

Time

P1

P2

P1

P2

dtp2

dTR

RTT

P1

P2

dtp1


freq= volume/ for High-Performance Networksdt

volume ~ pkt_length*8

dt ~ F(VQ) ~ F(Internet)

BWe=Mean(freq)

Open Problem

What is pkt_length?


  • All “ for High-Performance Networksmy test traffic” share same queue with outside CT

  • (It means that delay caused to my pkts by VQ

  • is not dependent only on my pkt_lengths !)

  • The accuracy is dependent on knowlegde of

  • packet distribution on particular path.

  • The average packet length ~1000 bytes

  • gives reasonable results.

Virtual queue


Filtering & Averaging for High-Performance Networks

ANL

Current/Average

CERN

Current/Average


Good Morning ! for High-Performance Networks


KPNQest for High-Performance Networks

UK-problems


Load balancing on one path router for High-Performance Networks


INCITE: Edge-based Traffic Processing and Service Inference for High-Performance Networks

Richard Baraniuk, Rice University; Les Cottrell, SLAC; Wu-chun Feng, LANL

Incite

CT detection

CT = f (dTR)


Mf ct features and benefits
MF-CT for High-Performance Networks Features and benefits

  • No need access to routers !

    • Current monitoring systems for Load of traffic are based on SNMP or Flows (needs access to routers)

  • Low cost:

    • Allows permanent monitoring (20 pkts/sec ~ overhead 10 Kbytes/sec)

    • Can be used as data provider for ABW prediction (ABW=BW-CT)

  • We have 2 data points of CT per second !!

  • Weak point for common use

    MATLAB code


MF-CT verification model for High-Performance Networks

UDP echo

SNMP counter

CERN

SNMP counter

internet

SNMP counter

IN2P3

SLAC

SNMP counter

MF-CT Simulator

UDP echo


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