Index: papers/SMPaT-2012_DCWoRMS/elsarticle-DCWoRMS.fdb_latexmk
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--- papers/SMPaT-2012_DCWoRMS/elsarticle-DCWoRMS.fdb_latexmk	(revision 648)
+++ papers/SMPaT-2012_DCWoRMS/elsarticle-DCWoRMS.fdb_latexmk	(revision 650)
@@ -1,4 +1,4 @@
 # Fdb version 2
-["pdflatex"] 1353507014 "elsarticle-DCWoRMS.tex" "elsarticle-DCWoRMS.pdf" "elsarticle-DCWoRMS" 
+["pdflatex"] 1353627755 "elsarticle-DCWoRMS.tex" "elsarticle-DCWoRMS.pdf" "elsarticle-DCWoRMS" 
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Index: papers/SMPaT-2012_DCWoRMS/elsarticle-DCWoRMS.tex
===================================================================
--- papers/SMPaT-2012_DCWoRMS/elsarticle-DCWoRMS.tex	(revision 648)
+++ papers/SMPaT-2012_DCWoRMS/elsarticle-DCWoRMS.tex	(revision 650)
@@ -140,5 +140,5 @@
 ...
 
-The remaining part of this paper is organized as follows. In Section~2 we give a brief overview of the current state of the art concerning modeling and simulation of distributed systems, like Grids and Clouds, in terms of energy efficiency. Section~3 introduces the main features of DCWoRMS. In particular, it introduces our approach to workload and resource management, presents the concept of energy efficiency modeling and explains how to incorporate a specific application performance model into simulations. Section~4 discusses energy models adopted within the DCWoRMS. In Section~5 we present some experiments that were performed on our testbed and then repeated using DCWORMS to evaluate the correctness of the simulation environment. Section~6 focuses on the role of DCWoRMS within the CoolEmAll project. Final conclusions and directions for future work are given in Section~7.
+The remaining part of this paper is organized as follows. In Section~2 we give a brief overview of the current state of the art concerning modeling and simulation of distributed systems, like Grids and Clouds, in terms of energy efficiency. Section~3 discusses the main features of DCWoRMS. In particular, it introduces our approach to workload and resource management, presents the concept of energy efficiency modeling and explains how to incorporate a specific application performance model into simulations. Section~4 discusses energy models adopted within the DCWoRMS. In Section~5 we present some experiments that were performed on our testbed and then repeated using DCWORMS to evaluate the correctness of the simulation environment. Section~6 focuses on the role of DCWoRMS within the CoolEmAll project. Final conclusions and directions for future work are given in Section~7.
 
 \section{Related Work}
@@ -148,5 +148,5 @@
 \subsection{GreenCloud}
 
-GreenCloud \cite{GreenCloud} is a C++ based simulation environment for energy-aware data cloud computing data centers. It was developed as an extension of the NS2 network simulator. GreenCloud allows researchers to observe and evaluate data centers performance and study their energy-efficiency, focusing mainly on the communications within a data center. Along with the workload distribution, it offers users a detailed, fine-grained modeling of the energy consumed by the elements of the data center. 
+GreenCloud \cite{GreenCloud} is a C++ based simulation environment for energy-aware cloud computing data centers. It was developed as an extension of the NS2 network simulator. GreenCloud allows researchers to observe and evaluate data centers performance and study their energy-efficiency, focusing mainly on the communications within a data center. Along with the workload distribution, it offers users a detailed, fine-grained modeling of the energy consumed by the elements of the data center. 
 
 To deliver information about the energy usage, GreenCloud distinguishes three energy consumption components: computing energy, communicational energy, and the energy component related to the physical infrastructure of a data center. This approach enables modeling energy usage associated with computations, network operations and cooling systems. In GreenCloud, the energy models are implemented for every simulated data center entity (computing servers, core and rack switches). Moreover, due to the advantage in the simulation resolution, energy models can operate at the network packet level as well. This allows updating the levels of energy consumption whenever a new packet leaves or arrives from the link, or whenever a new task execution is started or completed at the server.
@@ -339,5 +339,5 @@
 TODO - exact models used in experimental phase (here or in the next section??) 
 
-To facilitate the simulation process, DCWoRMS provides some basic implementation of power consumption and air throughput models.
+To facilitate the simulation process, DCWoRMS provides some basic implementation of power consumption, air throughput and thermal models.
 
 \subsection{Power consumption models}
@@ -353,5 +353,5 @@
 \subsection{Air throughput models}
 
-The DCWoRMS comes with the following predefined models.
+The DCWoRMS comes with the following air throughput models.
 By default, air throughput estimations are performed according to the first one.
 
@@ -361,4 +361,5 @@
 
 \subsection{Thermal models}
+
 The following models are supported natively. By default, the static strategy is applied.
 
