Additions to the paper in the Run Patterns section

  -> This addition talks about the data that is being collected and why it is useful

TracingPaper.aux

@@ -78,14 +78,6 @@
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 \bibcite{Leung2008}{1}
 \bibcite{Ellard2003}{2}
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 \bibcite{Skopko2012}{8}
 \bibcite{MS-CIFS}{9}
 \bibcite{MS-SMB}{10}
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+\@writefile{toc}{\contentsline {section}{\numberline {6}Conclusion}{6}}
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 \bibcite{MS-SMB2}{11}
 \bibcite{Roselli2000}{12}
 \bibcite{Vogels1999}{13}

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TracingPaper.tex

@@ -205,6 +205,7 @@ Assumptions:
 
 \subsection{Run Patterns}
 \label{Run Patterns}
+Interpreting the data collected is done by producing three separate graphs showing three important areas of interest for being able to understand the traffic being examined.  These areas are: \textbf{1)} the total number of read/write IO events, \textbf{2)} the occurrrences of different file sizes being read/written, \textbf{3)} the total number of bytes (combined read \& write) that are communicated over the traffic captured by this paper's tracing system.  The reason for needing these three areas of information is that combined together one is able to better interpret all the collected and dissected information.  By comparing the byte traffic to the IO information this is how we are able to tell not only when the times of greatest times of traffic are but which types of IO interactions dominate these periods.  It should be noted that unfortunately the analysis program does not include a granularity to allow knowledge on whether the read, or write, events are responsible for the most data transfer (via communication) but that is one of the many future additions to this work.  The file size information allows for interpretation of the size of the information that is being passed between the UITS servers and clients.  Although the granualrity for this information is far corser (24 hours versus the 15 minute time window) it still shows which variations of file length were most encountered over the period of the given day.  This information coupled with the byte and IO information reflects a priliminary protrait of how the UITS file server system is used, which can be compared to the internal network information that the UITS department keeps for their own maintenance and troubleshooting purposes.
 
 \subsection{Locating Performance Bottlenecks}
 \label{Locating Performance Bottlenecks}