From: afanfakh <afanfakh@fanfakh.afanfakh>
Date: Thu, 20 Nov 2014 15:46:21 +0000 (+0100)
Subject: adding the conclution
X-Git-Tag: pdsec15_submission~62
X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/mpi-energy2.git/commitdiff_plain/dc41bd6acde81b12c7e48075d1a74dee1f30db73?ds=inline;hp=--cc

adding the conclution
---

dc41bd6acde81b12c7e48075d1a74dee1f30db73
diff --git a/Heter_paper.tex b/Heter_paper.tex
index 65232f0..a6d44b1 100644
--- a/Heter_paper.tex
+++ b/Heter_paper.tex
@@ -922,7 +922,7 @@ down the frequencies of some nodes have less effect on the performance.
 
 
 \subsection{The results for different power consumption scenarios}
-
+\label{sec.compare}
 The results of the previous section were obtained while using processors that consume during computation 
 an overall power which is 80\% composed of  dynamic power and 20\% of static power. In this section, 
 these ratios are changed and two new power scenarios are considered in order to evaluate how the proposed  
@@ -1052,15 +1052,29 @@ for a heterogeneous cluster composed of four different types of nodes having the
 table~(\ref{table:platform}), it takes on average \np[ms]{0.04}  for 4 nodes and \np[ms]{0.15} on average for 144 nodes 
 to compute the best scaling factors vector.  The algorithm complexity is $O(F\cdot (N \cdot4) )$, where $F$ is the number 
 of iterations and $N$ is the number of computing nodes. The algorithm needs  from 12 to 20 iterations to select the best 
-vector of frequency scaling factors that gives the results of the section (\ref{sec.res}).
+vector of frequency scaling factors that gives the results of the sections (\ref{sec.res}) and (\ref{sec.compare}) .
 
 \section{Conclusion}
 \label{sec.concl}
-
+In this paper, we have presented a new online heterogeneous scaling algorithm
+that selects the best possible vector of frequency scaling factors. This vector 
+gives the maximum distance (optimal tradeoff) between the normalized energy and 
+the performance curves. In addition, we developed a new energy model for measuring  
+and predicting the energy of distributed iterative applications running over heterogeneous 
+cluster. The proposed method evaluated on Simgrid/SMPI  simulator to built a heterogeneous 
+platform to executes NAS parallel benchmarks. The results of the experiments showed the ability of
+the proposed algorithm to changes its behaviour to selects different scaling factors  when 
+the number of computing nodes and both of the static and the dynamic powers are changed. 
+
+In the future, we plan to improve this method to apply on asynchronous  iterative applications 
+where each task does not wait the others tasks to finish there works. This leads us to develop a new 
+energy model to an asynchronous iterative applications, where the number of iterations is not 
+known in advance and depends on the global convergence of the iterative system.
 
 \section*{Acknowledgment}
 
 
+
 % trigger a \newpage just before the given reference
 % number - used to balance the columns on the last page
 % adjust value as needed - may need to be readjusted if
diff --git a/my_reference.bib b/my_reference.bib
index 327238d..8bb91bc 100644
--- a/my_reference.bib
+++ b/my_reference.bib
@@ -210,7 +210,7 @@ doi={10.1109/CCGRID.2009.88}
  series = {IPDPS '05},
  year = {2005},
  isbn = {0-7695-2312-9},
- pages = {4.1--},
+ pages = {4a-4a},
  doi = {10.1109/IPDPS.2005.214},
  acmid = {1054466},
  publisher = {IEEE Computer Society},
@@ -701,7 +701,7 @@ ISSN={0190-3918}
 	institution = {{DTIC} Document},
 	author = {Luley, Ryan and Usmail, Courtney and Barnell, Mark},
 	year = {2011},
-	file = {a548738.pdf:files/30/a548738.pdf:application/pdf}
+	
 }
 
 
@@ -722,7 +722,6 @@ pages = "1661 - 1670",
 year = "2013",
 issn = "0167-739X",
 doi = "http://dx.doi.org/10.1016/j.future.2013.02.010",
-url = "http://www.sciencedirect.com/science/article/pii/S0167739X13000484",
 author = {Lizhe Wang and Samee U. Khan and Dan Chen and Joanna Kołodziej and Rajiv Ranjan and Cheng-zhong Xu and Albert Zomaya}
 
 
@@ -733,7 +732,6 @@ author = {Lizhe Wang and Samee U. Khan and Dan Chen and Joanna Kołodziej and Ra
 @article{Joshi_Blackbox.prediction.of.impact.of.DVFS,
 	title = {Blackbox prediction of the impact of {DVFS} on end-to-end performance of multitier systems},
 	volume = {37},
-	url = {http://dl.acm.org/citation.cfm?id=1773404},
 	number = {4},
 	urldate = {2014-03-28},
 	journal = {{ACM} {SIGMETRICS} Performance Evaluation Review},
@@ -781,7 +779,6 @@ ISSN={1045-9219},}
 @article{Chen_DVFS.under.quality.of.service.requirements,
 	title = {Dynamic frequency scaling schemes for heterogeneous clusters under quality of service requirements},
 	volume = {28},
-	url = {http://www.tik.ee.ethz.ch/file/6b2639d5dad0cd754d723ba0eb92cbf6/201211_06.pdf},
 	number = {6},
 	urldate = {2014-11-07},
 	journal = {Journal of Information Science and Engineering},