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The data sets used in the study may be downloaded from the links listed below. These data sets were collected by the IEPM-BW project and the latest performance statistics may be accessed from here.

Table 1: Performance measurement statistics compiled by IEPM, as seen from SLAC.

 

Raw data

Labeled data

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SDSC

[[csv

http://www.slac.stanford.edu/~kalim/event-detection/published-data/SDSC-pathchirp.csv]], [[xls

http://www.slac.stanford.edu/~kalim/event-detection/published-data/SDSC-pathchirp.xls]]

[[txt

http://www.slac.stanford.edu/~kalim/event-detection/published-data/UTORONTO-pathchirp-labeled-events.txt]]

]]></ac:plain-text-body></ac:structured-macro>

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="280d85ebe8c34d04-cc8be156-42194c2f-a100852d-2ce31067c855d752649e9a26"><ac:plain-text-body><![CDATA[

CERN

[[csv

http://www.slac.stanford.edu/~kalim/event-detection/published-data/CERN-pathchirp.csv]], [[xls

http://www.slac.stanford.edu/~kalim/event-detection/published-data/CERN-pathchirp.xls]]

[[txt

http://www.slac.stanford.edu/~kalim/event-detection/published-data/CERN-pathchirp-labeled-events.txt]]

]]></ac:plain-text-body></ac:structured-macro>

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="7fc9f918c035d7f2-0028a8c2-430444fd-9843b917-d2be3e5f8b233aef97eda3e9"><ac:plain-text-body><![CDATA[

FZK

[[csv

http://www.slac.stanford.edu/~kalim/event-detection/published-data/FZK-pathchirp.csv]], [[xls

http://www.slac.stanford.edu/~kalim/event-detection/published-data/FZK-pathchirp.xls]]

[[txt

http://www.slac.stanford.edu/~kalim/event-detection/published-data/FZK-pathchirp-labeled-events.txt]]

]]></ac:plain-text-body></ac:structured-macro>

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="582d6bd6e8bf4278-601e9edf-480941bb-99b7a804-5fffff0250fe8f8fffcd737a"><ac:plain-text-body><![CDATA[

DESY

[[csv

http://www.slac.stanford.edu/~kalim/event-detection/published-data/DESY-pathchirp.csv]], [[xls

http://www.slac.stanford.edu/~kalim/event-detection/published-data/DESY-pathchirp.xls]]

[[txt

http://www.slac.stanford.edu/~kalim/event-detection/published-data/DESY-pathchirp-labeled-events.txt]]

]]></ac:plain-text-body></ac:structured-macro>

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="0dcbaa6b1d65e0c0-513fcb82-4ab24b2b-99e4a91c-df9db64979f7c27fdcea8a57"><ac:plain-text-body><![CDATA[

UTORONTO

[[csv

http://www.slac.stanford.edu/~kalim/event-detection/published-data/UTORONTO-pathchirp.csv]], [[xls

http://www.slac.stanford.edu/~kalim/event-detection/published-data/UTORONTO-pathchirp.xls]]

[[txt

http://www.slac.stanford.edu/~kalim/event-detection/published-data/UTORONTO-pathchirp-labeled-events.txt]]

]]></ac:plain-text-body></ac:structured-macro>

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="a41aa1ce7578e96b-ae85f1d1-4990467e-8a4a8129-3717c57e43fd44ea1c39a8dd"><ac:plain-text-body><![CDATA[

TRIUMF

[[csv

http://www.slac.stanford.edu/~kalim/event-detection/published-data/TRIUMF-pathchirp.csv]], [[xls

http://www.slac.stanford.edu/~kalim/event-detection/published-data/TRIUMF-pathchirp.xls]]

[[txt

http://www.slac.stanford.edu/~kalim/event-detection/published-data/TRIUMF-pathchirp-labeled-events.txt]]

]]></ac:plain-text-body></ac:structured-macro>

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="d6c3b1e9ad8b5aa5-7c515f2f-480344ec-875aa9d9-5c4fe23baab9459e1771ef17"><ac:plain-text-body><![CDATA[

ORNL

[[csv

http://www.slac.stanford.edu/~kalim/event-detection/published-data/ORNL-pathchirp.csv]], [[xls

http://www.slac.stanford.edu/~kalim/event-detection/published-data/ORNL-pathchirp.xls]]

[txt]

]]></ac:plain-text-body></ac:structured-macro>

...

We initially define the sensitivity as one (1) and determine the optimal threshold value for each link (i.e. the value with the optimal ratio of true-positives to false positives). As suggested by the authors, this threshold falls between 30%-40%. Finally for the history buffer length, the trigger buffer length and the optimal threshold, we vary the sensitivity to determine the spectrum of the ratio of true-positive rate to false positive rate. Based on the observations we plot the ROC curves as shown in figure 2.

Table 2: Results compiled by Plateau when analyzing the Internet path between SLAC and DESY.

H

TB

TH

S

TP

FP

#P

N~days

TPR

FPR

240

45

30%

2.3

0

25

31

672

0

0.037

240

40

30%

2.2

1

28

31

672

0.032

0.042

240

32

30%

2.1

1

32

31

672

0.032

0.048

240

28

30%

2.0

2

35

31

672

0.065

0.052

240

24

30%

1.9

2

41

31

672

0.065

0.061

240

19

30%

1.8

4

50

31

672

0.129

0.074

240

16

30%

1.7

6

59

31

672

0.194

0.088

240

13

30%

1.6

7

66

31

672

0.226

0.098

240

10

30%

1.5

11

74

31

672

0.355

0.11

240

9

30%

1.4

13

81

31

672

0.419

0.121

240

8

30%

1.3

14

97

31

672

0.452

0.144

240

7

30%

1.2

16

103

31

672

0.516

0.153

240

6

30%

1.1

20

114

31

672

0.645

0.17

240

6

30%

1.0

21

122

31

672

0.677

0.182

Legend:
H - History buffer length, TB - Trigger buffer length, TH - threshold, S - sensitivity, TP - true positives obtained, FP - false positives obtained, #P - true positives, N~days - days observed, TPR - true positive rate, FPR - false positive rate.

Wiki Markup
The source code of the implementation is available in [C#|http://www.slac.stanford.edu/~kalim/event-detection/published-src/c-plateau-impl.html] \[[cs|http://www.slac.stanford.edu/~kalim/event-detection/published-src/plateau.cs]\] and [perl|http://www.slac.stanford.edu/~kalim/event-detection/published-src/plateau.pl.html] \[[pl|http://www.slac.stanford.edu/~kalim/event-detection/published-src/plateau.pl]\]

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