Uploading of edits to Conclusion section

	- Rewriting/Condensing of future work
Note: Still need to condense first 2/3rds of conclusion section

Signed-off-by: Paul Wortman <paul.mauddib28@gmail.com>

TracingPaper.log

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TracingPaper.tex

@@ -247,21 +247,7 @@ Three scenarios observed were (1) a large number of IOs and small number of byte
 On the outset of this work it was believed that the data collected and analyzed would follow similar behavior patterns seen in previous papers ~\cite{Douceur1999, RuemmlerWilkes1993, Bolosky2007, EllardLedlie2003}. The expectation is that certain aspect of the data, such as transfer/buffer sizes, will produce a bell-shape and be centralized around a larger size than previous papers' findings. The number of I/O operations was expected to peak during nocturnal hours and fall during day time hours. On top of that the expectation is that a greater number of reads will be seen over the course of a day, where the majority of writes will occur near the expected times of UITS' backup (e.g. 2am to 6am). Granted, one must recall that the expectation is that any backup traffic that is seen will be due to a fetching of user's caches in order to preserve fidelity of any shared data.\\
 One oddity was that during the day one would see a greater increase in writes instead of reads. The first assumption was that this is due to the system and how users interact with everything.
 I believe that the greater number of writes comes from students doing intro work for different classes in which students are constantly saving their work while reading instructions from a single source. The early traffic is most likely due to professors preparing for classes. One must also recall that this data itself has limited interpretation because only a small three week windows of information is being examined. A better, and far more complete, image can be constructed using data captured from the following months, or more ideally, from an entire year's worth of data. Another limitation of the results is the scope of the analysis is curbed and does not yet fully dissect all of the fields being passed in network communication.
-The future work of this project would be to
-\begin{itemize}
-	\item 1. Complete the dissection analysis to include all captured fields from the originating pcap files.  
-	\item 2. All DataSeries files (which are purposed for distribution) would be a single file per day's worth of communication; this may be possible with new additions to the DataSeries code but pcap limitations do not currently allow for this.  
-	\item 3. Modulation of the capturing software would not only pull out information pertanent to the SMB/CIFS protocol, but would be able to pull multiple protocols which a user would be able to define prior to run-time.  
-	\item 4. Better automation of the capturing system would remove the potential of human error cause loss of data.  Use of new DataSeries tools may allow for recovery of previously corrupted DataSeries files.
-	\item 5. Update DataSeries code to current git version to see if this takes care of some of the nuances that exist in the DataSeries code
-	\begin{itemize}
-	\item Issues with unsigned values.
-	\item Issues with reading from DataSeries fields
-		\begin{itemize}
-		\item Problem is that if not read properly, data is lost due to method by which the reading is performed.
-		\end{itemize}
-	\end{itemize}
-\end{itemize}
+The future work of this project would be to incorporate more fields from the SMB/CIFS specifications in order to depict a fuller picture of the network system.  Additional alterations would be a work-around allowing for DataSeries files that incorporate an entire day's worth of trafafic, for the purpose of distribution of the code, modulation of the captruing software to incorporate additional protocols, better automation of code elements in order to reduce the potential for human error causing loss of data, and incorporation of DataSeries version changes to tackle data primitive translation issues.
 
 The hope is to further the progress made with benchmarks \& tracing in the hope that it too will lend to improving and deepening the knowledge and understanding of these systems so that as a result the technology and methodology is bettered as a whole.