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| author | mjkwiatkowski <mati.rewa@gmail.com> | 2026-07-20 12:43:25 +0200 |
|---|---|---|
| committer | mjkwiatkowski <mati.rewa@gmail.com> | 2026-07-20 12:43:25 +0200 |
| commit | 50a56490fb461d9269fde325673a4a9bbf3c6dfd (patch) | |
| tree | 717511e11073352c081d0a3b5eaffc47ff2b8660 /sources/failure_model_statistics.tex | |
| parent | aa32b75bd7a6248fad478bc634e8126ee9981db7 (diff) | |
feat: applied 3/4 of the second round of feedback from Dante
Diffstat (limited to 'sources/failure_model_statistics.tex')
| -rw-r--r-- | sources/failure_model_statistics.tex | 17 |
1 files changed, 17 insertions, 0 deletions
diff --git a/sources/failure_model_statistics.tex b/sources/failure_model_statistics.tex new file mode 100644 index 0000000..03c08dd --- /dev/null +++ b/sources/failure_model_statistics.tex @@ -0,0 +1,17 @@ +\begin{table}[t] + \centering + \renewcommand{\arraystretch}{1.4} + \begin{tabular}{lr} + \toprule + \textbf{Trace} & \textbf{Mean Failure Intensity} \\ + \midrule + Gmail & 53.26\% \\ + WhatsApp & 57.97\% \\ + YouTube & 62.1\% \\ + Twitter & 65\% \\ + Facebook & 64\% \\ + \bottomrule + \end{tabular} + \caption[Overview of the failure traces]{This table shows the traces we used for scientific evaluation, and the right-hand-side shows the format of failure traces. Mean Failure Intensity can be characterized as the average of the ratio of hosts that are affected by a failure~\cite{DBLP:journals/tpds/TalluriNCKCBI26}} + \label{tab:failure_traces_overview} +\end{table} |