-\title{\AG[]{Optimizing Energy Consumption with DVFS\dots}Energy Consumption Reduction with DVFS for Message \\
+\title{Optimizing Energy Consumption with DVFS for Message \\
Passing Iterative Applications on \\
Grid Architectures}
different dynamic and static powers from the nodes of the other clusters,
noted as $\Pd[ij]$ and $\Ps[ij]$ respectively. Therefore, even if the distributed
message passing iterative application is load balanced, the computation time of each CPU $j$
-in cluster $i$ noted $\Tcp[ij]$ may be different and different frequency scaling factors may be
+in cluster $i$ noted $\Tcp[ij]$ may be slightly different due to the delay caused by the scheduler of the operating system. Therefore, different frequency scaling factors may be
computed in order to decrease the overall energy consumption of the application
-and reduce slack times. The communication time of a processor $j$ in cluster $i$ is noted as
+and reduce the slack times. The communication time of a processor $j$ in cluster $i$ is noted as
$\Tcm[ij]$ and could contain slack times when communicating with slower nodes,
see Figure~\ref{fig:heter}. Therefore, all nodes do not have equal
communication times. While the dynamic energy is computed according to the
\begin{figure}[!t]
\centering
\includegraphics[scale=0.6]{fig/power_consumption.pdf}
- \AG{I don't understand the labels on the horizontal axis: 10:30:37, 10:30:38,
- etc.}
\caption{The power consumption by one core from the Taurus cluster}
\label{fig:power_cons}
\end{figure}
