Start paper writing

benchmark/eval_analysis_v2.R

@@ -58,14 +58,14 @@ dbdata$lab_count <- sprintf('Iteration %d', dbdata$count)
 max_y=3500
 
 for (lab_fs in unique(dbdata$lab_fs)) {
-#for (scale in c("linear", "logarithmic")) {
+for (scale in c("linear", "logarithmic")) {
-for (scale in c("linear")) {
+#for (scale in c("linear")) {
 
 	p = ggplot(data=dbdata[dbdata$lab_fs==lab_fs,], aes(x=nn, y=bwMiB, colour=as.factor(blocksize/1024), group=blocksize), ymin=0) +
         #aes(x=nn, y=bwMiB) +
 		ggtitle(sprintf("%s independent random access to a shared file with IOR", lab_fs)) +
-		facet_grid(ppn ~  lab_access + lab_count, labeller = labeller(nn = as_labeller(nn_lab), ppn = as_labeller(ppn_lab))) +
+		#facet_grid(ppn ~  lab_access + lab_count, labeller = labeller(nn = as_labeller(nn_lab), ppn = as_labeller(ppn_lab))) +
-		#facet_grid(ppn ~  lab_access, labeller = labeller(nn = as_labeller(nn_lab), ppn = as_labeller(ppn_lab))) +
+		facet_grid(ppn ~  lab_access, labeller = labeller(nn = as_labeller(nn_lab), ppn = as_labeller(ppn_lab))) +
 		xlab("Nodes") +
 		ylab("Performance in MiB/s") +
 		theme(axis.text.x=element_text(angle=90, hjust=0.95, vjust=0.5)) +
@@ -87,8 +87,8 @@ for (scale in c("linear")) {
 
 	filename_eps = sprintf("%s/%s_%s_performance.eps", folder_out, to_fn_str(lab_fs), scale)
 	filename_png = sprintf("%s/%s_%s_performance.png", folder_out, to_fn_str(lab_fs), scale)
-	ggsave(filename_png, width = 16, height = 8)
+	ggsave(filename_png, width = 8, height = 8)
-	ggsave(filename_eps, width = 16, height = 8)
+	ggsave(filename_eps, width = 8, height = 8)
 	#system(sprintf("epstopdf %s", filename_eps))
 	system(sprintf("rm %s", filename_eps))
 
@@ -96,8 +96,8 @@ for (scale in c("linear")) {
         aes(x=nn, y=(PortXmitData + PortRcvData) * 4 / ppn, colour=as.factor(blocksize/1024), group=blocksize) +
         #aes(x=nn, y=bwMiB) +
         ggtitle(sprintf('%s Infiniband throughput (PortRcvData and PortXmitData by "perfquery -x")', lab_fs)) +
-		facet_grid(ppn ~  lab_access + lab_count, labeller = labeller(nn = as_labeller(nn_lab), ppn = as_labeller(ppn_lab))) +
+		#facet_grid(ppn ~  lab_access + lab_count, labeller = labeller(nn = as_labeller(nn_lab), ppn = as_labeller(ppn_lab))) +
-		#facet_grid(ppn ~  lab_access, labeller = labeller(nn = as_labeller(nn_lab), ppn = as_labeller(ppn_lab))) +
+		facet_grid(ppn ~  lab_access, labeller = labeller(nn = as_labeller(nn_lab), ppn = as_labeller(ppn_lab))) +
 		xlab("Nodes") +
 		ylab("Performance in MiB/s") +
 		theme(axis.text.x=element_text(angle=90, hjust=0.95, vjust=0.5)) +
@@ -116,8 +116,8 @@ for (scale in c("linear")) {
 
 	filename_eps = sprintf("%s/%s_%s_ib.eps", folder_out, to_fn_str(lab_fs), scale)
 	filename_png = sprintf("%s/%s_%s_ib.png", folder_out, to_fn_str(lab_fs), scale)
-	ggsave(filename_png, width = 16, height = 8)
+	ggsave(filename_png, width = 8, height = 8)
-	ggsave(filename_eps, width = 16, height = 8)
+	ggsave(filename_eps, width = 8, height = 8)
 	#system(sprintf("epstopdf %s", filename_eps))
 	system(sprintf("rm %s", filename_eps))
 

paper/paper.tex

@@ -38,7 +38,7 @@
 \usepackage{float}
 \graphicspath{
  {./fig/}
- {../benchmark/eval_analysis_output/}
+ {../benchmark/eval_analysis_output_v2/}
 }
 
 %\newcolumntype{P}[1]{>{\raggedright\let\newline\\\arraybackslash\hspace{0pt}}m{#1\textwidth}}
@@ -63,7 +63,56 @@ University of Reading, Reading, United Kingdom,\\
 
 \keywords{Lustre, FUSE, evaluation, flash-based storage}
 
+\section{DDN-IME}
 
+The IOR stonewalling option (-d 60) was used together with the wear out option (-o StonewallingWearOut=1).
+In this way we make sure, that each node writes the same amount of data, even if the stonewalling deadline is achieved.
+
+For read access a 12TB test file was pre-created and used for all experiments.
+Since IME has the ability to migrate data from back-end file system to IMEs and vice versa, we made sure that this file was always locate on IMEs.
+For write access we used a separate test file, which was always deleted after each test run.
+
+
+\begin{table}
+	\centering
+	\begin{tabular}{l|l}
+		Parameter          & Values                     \\ 
+    \hline
+		Number of nodes    & 1, 2, 4, 8, 16             \\ 
+		Processes per node & 1, 4, 8, 16                \\ 
+		Access             & read, write                \\ 
+		Block sizes        & 16KiB, 100KiB, 1MiB, 10MiB \\ 
+		Iterations         & 3                          \\ 
+	\end{tabular}
+	\caption{Explored parameteres}
+  \label{tab:params:ime}
+\end{table}
+
+During the parameter exploration 540 experimentes were conducted.
+The explored parameters are showed in \Cref{tab:params:ime}.
+The resulting peformance is showed in \Cref{fig:perf:linear:ime}.
+
+
+\begin{figure}
+  \begin{subfigure}{.5\textwidth}
+  \centering
+  \includegraphics[width=0.9\textwidth]{ime_linear_performance.png}
+  \caption{Linear scale}
+  \label{fig:perf:linear:ime}
+  \end{subfigure}
+  \begin{subfigure}{.5\textwidth}
+  \centering
+  \includegraphics[width=0.9\textwidth]{ime_logarithmic_performance.png}
+  \caption{Logarithmic scale}
+  \label{fig:perf:log:ime}
+  \end{subfigure}
+  \caption{Native IME random performance to a shared file measured with IOR}
+\end{figure}
+
+\textbf{Reproducible performance}
+
+\textbf{Good scaling behaviour for large blocks}
+\textbf{Limited scaling behavour for small block sizes}
 
 \section{IBM Spectrum Scale}
 % https://support.dvsus.com/hc/en-us/articles/212928566-GPFS-general-commands-
@@ -74,6 +123,60 @@ University of Reading, Reading, United Kingdom,\\
 A GPFS 4.2.3.0 file system was used as back-end for IMEs.
 The pagepool was 6GB large.
 
+\begin{table}
+	\centering
+	\begin{tabular}{l|l}
+		Parameter          & Values                     \\ 
+		\hline
+		Number of nodes    & 1, 2, 4, 8, 16             \\ 
+		Processes per node & 1, 4, 8                    \\ 
+		Access             & read, write                \\ 
+		Block sizes        & 16KiB, 100KiB, 1MiB, 10MiB \\ 
+		Iterations         & 3                          \\ 
+	\end{tabular}
+	\caption{Explored parameteres}
+  \label{tab:params:gpfs}
+\end{table}
+
+During the parameter exploration 540 experimentes were conducted.
+The explored parameters are showed in \Cref{tab:params:ime}.
+The resulting peformance is showed in \Cref{fig:perf:linear:ime}.
+
+
+\begin{figure}
+  \begin{subfigure}{.5\textwidth}
+  \centering
+  \includegraphics[width=0.8\textwidth]{ibm_spectrum_scale_linear_performance.png}
+  \caption{Linear scale}
+  \label{fig:perf:linear:gpfs}
+  \end{subfigure}
+  \begin{subfigure}{.5\textwidth}
+  \centering
+  \includegraphics[width=0.8\textwidth]{ibm_spectrum_scale_logarithmic_performance.png}
+  \caption{Logarithmic scale}
+  \label{fig:perf:log:gpfs}
+  \end{subfigure}
+  \caption{Native IME random performance to a shared file measured with IOR}
+  \label{fig:perf:gpfs}
+\end{figure}
+
+\begin{figure}
+  \begin{subfigure}{.5\textwidth}
+  \centering
+  \includegraphics[width=0.8\textwidth]{ibm_spectrum_scale_linear_ib.png}
+  \caption{Linear scale}
+  \label{fig:ib:linear:gpfs}
+  \end{subfigure}
+  \begin{subfigure}{.5\textwidth}
+  \centering
+  \includegraphics[width=0.8\textwidth]{ibm_spectrum_scale_logarithmic_ib.png}
+  \caption{Logarithmic scale}
+  \label{fig:ib:log:gpfs}
+  \end{subfigure}
+  \caption{Native IME random performance to a shared file measured with IOR}
+  \label{fig:ib:gpfs}
+\end{figure}
+
 
 \subsection{Benchmarks}