-The evaluation of the execution of the Neurad application on XWCH was
-composed as follows. The size of the input data is about 2.4Gb. This
-amount of data can be divided into 25 parts – otherwise, data noise
-appears and will disturb the learning. We have used 25 computers (XWCH
-workers) to execute this part of the application. This generates input
-data parts of about 15Mb (in a compressed format). The output data,
-which are retrieved after the process, are about 30Kb for each part. We
-used two distincts deployments of XWCH. In the first one, the XWCH
-coordinator and the warehouses were situated in Geneva, Switzerland
-while the workers were running in the same local cluster in Belfort,
-France. The second deployment is a local deployment where both
-coordinator, warehouses and workers were in the same local cluster.
-During the day these machines were used by students of the Computer
-Science Department of the IUT of Belfort.
-
-We have furthermore compared the execution of the Neurad application
-with and without the XWCH platform in order to measure the overhead
-induced by the use of the platform. By "without XWCH" we mean that the
-testbed consists only in workers deployed with their respective data by
-the use of shell scripts. No specific middleware was used and the
+The size of the input data is about 2.4Gb. In order to avoid that data
+noise appears and disturb the learning process, these data can be
+divided into 25 part, at most. This generates input data parts of
+about 15Mb (in a compressed format). The output data, which are
+retrieved after the process, are about 30Kb for each
+part. Unfortunately, the data decomposition limitation does not allow
+us to use more than 25 computers (XWCH workers). Nevertheless, we used two
+distincts deployments of XWCH:
+\begin{enumerate}
+
+\item In the first one, called ``ditributed XWCH'' in the following,
+ the XWCH coordinator and the warehouses were situated in Geneva,
+ Switzerland while the workers were running in the same local cluster
+ in Belfort, France.
+
+\item The second deployment, called ``local XWCH'' is a local
+ deployment where both coordinator, warehouses and workers were in
+ the same local cluster.
+
+\end{enumerate}
+For the both deployments, during the day these machines were used by
+students of the Computer Science Department of the IUT of Belfort.
+
+In order to evaluate the overhead induced by the use of the platform
+we have furthermore compared the execution of the Neurad application
+with and without the XWCH platform. For the latter case, we mean that the
+testbed consists only in workers deployed with their respective data
+by the use of shell scripts. No specific middleware was used and the