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| Data Sets with Events | Data Sets with no Events | |
|---|---|---|---|
<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="753b67c2-89ac-43ca-b752-4f9baaa18343"><ac:plain-text-body><![CDATA[ | IEPM | [[rar^datasets-with-events.rar] ] 3.4 MB, [[zip^datasets-with-events.zip] ] 3.6 MB | [[rar^datasets-with-no-events.rar] ] 3.3 MB, [ [zip^datasets-with-no-events.zip] ] 3.5 MB ]]></ac:plain-text-body></ac:structured-macro> |
All files with name "filename_raw_dataset.pathchirp" contain the raw data i.e the available bandwidth measurements along with the timestamps which are used in all algorithms.
All files with name "filename_event_file.txt" contain the list of events identified.
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The technical report titled "A performance evaluation of anomaly detection algorithms for Internet Paths" is available here.will be available soon.
Input/Tuning parameters
Plateau Algorithm (PL)
History Buffer Length (H) | Trigger Buffer Length (T) | Threshold (th) | Sensitivity (s) |
|---|---|---|---|
240 | 6 - 45 | 0.10 - 0.70 | 1.0 - 2.8 |
Kalman Filters Method (KF)
Sensitivity (K) | Time Window (h) |
|---|---|
0.001 - 11.0 | 6 - 20 |
Holt Winter's Method (HW)
? - alpha | ? - beta | ? - gamma | ? - sigma |
|---|---|---|---|
0.1 | 0.1 - 0.3 | 0.1 - 0.5 | 2.0 |
Adaptive Fault Detector (AFD)
Window Size (N) | ? - alpha | ? - beta | No. of Training Data (Hn) |
|---|---|---|---|
20 | 0.95 | 0.0015 - 0.1 | 100 |
Decision Theoretic Approach (DTA)
History Buffer Length (N) | ? - alpha | ? - beta | Median filter length ( n) |
|---|---|---|---|
30 - 90 | 0.01 - 0.34 | 0.99 | 100 |
ROC Results
Datasets with Gaussian Distributions
CERN | FZK | SDSC |
|---|---|---|
| | |
TRIMUF | UTORONTO |
|---|---|
| |
Datasets with Weibull Distributions
DESY | NSLABS | SWITCH |
|---|---|---|
| | |
