-In this section, the scaling factor selection algorithm \ref{HSA}, is applied
-to NAS parallel benchmarks. Seven benchmarks, CG, MG, EP, LU, BT, SP and FT, of the class D
-are executed over grid'5000 computing clusters. As mentioned previously, the experiments
-of this paper obtained from a collection of many clusters distributed in two sites, Lyon and Nancy sites,
-of grid'5000. Four different clusters are selected from these two sites to generate two
-different scenarios. Each of these two scenarios used three clusters. The first scenario,
-is composed from three clusters that located in two sites, Lyon and Nancy sites. One of these three
-clusters is from Lyon site, Taurus cluster and the other two clusters are form Nancy site,
-Graphene and Griffon clusters. The second scenario, is composed from three clusters that are
-located in one site, Nancy site. These cluster are Graphite, Graphene and griffon. The main reason
-behind using these two scenarios is because the first one is executing the NAS parllel benchmarks over
-two sites that are connected via long distance network, then the computations to communications ratio
-is very low due to the increase in communication times, while in the second scenario, all of the three clusters are
-located in one site and they are connected via high speed local area networks, where the computations
-to communications ratio is higher. Therefore, it is very interested to know the performance behaviour
-and the energy consumption of NAS parallel benchmarks using the proposed method, when they run
-over these two different platform scenarios. Moreover, The NAS parallel benchmarks are executed over
+In this section, the results of the the application of the scaling factors selection algorithm \ref{HSA}
+to the NAS parallel benchmarks are presented.
+
+As mentioned previously, the experiments
+were conducted over two sites of grid'5000, Lyon and Nancy sites.
+Two scenarios were considered while selecting the clusters from these two sites :
+\begin{itemize}
+\item In the first scenario, nodes from two sites and three heterogeneous clusters were selected. The two sites are connected
+are connected via a long distance network.
+\item In the second scenario nodes from three clusters that are
+located in one site, Nancy site.
+\end{itemize}
+
+The main reason
+behind using these two scenarios is to evaluate the influence of long distance communications (higher latency) on the performance of the
+scaling factors selection algorithm. Indeed, in the first scenario the computations to communications ratio
+is very low due to the higher communication times which reduces the effect of DVFS operations.
+
+The NAS parallel benchmarks are executed over
