Changeset 1079 for papers/SMPaT-2012_DCWoRMS/elsarticle-DCWoRMS.tex

Timestamp:

06/08/13 22:20:59 (12 years ago)

Author:

wojtekp

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• papers/SMPaT-2012_DCWoRMS/elsarticle-DCWoRMS.tex (modified) (5 diffs)

papers/SMPaT-2012_DCWoRMS/elsarticle-DCWoRMS.tex

@@ -726 +726 @@
 \subsection{Verification of models} 
 
-This section contains more detailed and experimental comparison of power consumption models that can be applied, among others, within the DCworms. As a reference model, called Mapping approach, we used model that was applied to the experiments in the previous section. As mentioned within this model, the values measured on the CoolEmAll testbed for each application were applied directly to the power consumption model used in DCworms. 
+This section contains more detailed and experimental comparison of power consumption models that can be applied, among others, within the DCworms. As a reference model, we used model that was applied to the experiments in the previous section and called Mapping approach. As mentioned within this model, the values measured for each application on the CoolEmAll testbed were applied directly to the power consumption model used in DCworms. 
 
 \paragraph{Static}
-With each node power state, understood as a possible operating state (p-state), we associated a power consumption value that derives from the averaged values of measurements obtained for different types of application. Therefore, the current power usage of the node, can be expressed as: 
+Within this model, with each node power state, understood as a possible operating state of its processor (p-state), we associated a power consumption value that derives from the averaged values of measurements obtained for different types of application. Therefore, the current power usage of the node, can be expressed as (equation (\ref{eq:modelStatic})): 
 \begin{equation}
 P = P_{idle} + P_{f} \label{eq:modelStatic}
@@ -746 +746 @@
 
 \paragraph{Application}
-The applied model followed the equation (\ref{eq:model}) and used the data presented in Section \ref{sec:models}.
+The applied model followes the equation (\ref{eq:model}) and uses the data presented in Section \ref{sec:models}.
 
 Table \ref{modelsResults} contains the results obtained for all examined models for five resource management strategies presented in the previous section, while Table \ref{modelsAccuracy} summarize their accuracy.
@@ -776 +776 @@
 R+NPM &  36.705 & 38.790        & 36.679  & 34.846 \\
 EO & 46.305 & 49.254 & 46.746 & 44.585 \\
-EO +NPM & 30.568 &      33.915 & 30.31 & 28.728\\
+EO+NPM & 30.568 &       33.915 & 30.31 & 28.728\\
 R+LF  & 77.109 &  78.371 & 76.5  &      81.919\\
 \hline
@@ -794 +794 @@
 R+NPM & 100 & 94.32&    99.93&  94.94 \\
 EO & 100 & 93.63        &99.05  &96.29\\
-EO +NPM &  100 &        89.05&  99.16&  93.98\\
+EO+NPM &  100 & 89.05&  99.16&  93.98\\
 R+LF  &  100 &  98.36   &99.21& 93.76\\
 \hline
@@ -801 +801 @@
 \end {table}
 
-As it can be observed, the accuracy of the all models is high and exceeds visibly 90\%. Satisfactory accuracy suggests that applying various power consumption models, while verifying different approaches or in case of lack of detailed measurements, does not lead to deterioration of overall results. This fact confirms also the important role of simulations in the experiments related to the distributed computing systems. 
+As it can be observed, the accuracy of the all models is high and exceeds visibly 90\%. The best results were obtained for the Dynamic approach which introduced the linear dependency between the load and power consumption for the given type of application. Satisfactory accuracy suggests that applying various power consumption models, while verifying different approaches or in case of lack of detailed measurements, does not lead to deterioration of overall results. This fact confirms also the important role of simulations in the experiments related to the distributed computing systems.