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\bibcite{Leung2008}{1} \bibcite{Ellard2003}{2} \bibcite{EllardLedlie2003}{3} @@ -96,6 +88,14 @@ \bibcite{Skopko2012}{8} \bibcite{MS-CIFS}{9} \bibcite{MS-SMB}{10} +\@writefile{toc}{\contentsline {subsection}{\numberline {4.5}Locating Performance Bottlenecks}{6}} +\newlabel{Locating Performance Bottlenecks}{{4.5}{6}} +\@writefile{toc}{\contentsline {section}{\numberline {5}Intuition Confirm/Change}{6}} +\newlabel{Intuition Confirm/Change}{{5}{6}} +\@writefile{toc}{\contentsline {subsection}{\numberline {5.1}Characterizations of Different Packet Types}{6}} +\newlabel{Characterizations of Different Packet Types}{{5.1}{6}} +\@writefile{toc}{\contentsline {section}{\numberline {6}Conclusion}{6}} +\newlabel{Conclusion}{{6}{6}} \bibcite{MS-SMB2}{11} \bibcite{Roselli2000}{12} \bibcite{Vogels1999}{13} diff --git a/TracingPaper.log b/TracingPaper.log index 0948a9c..c85b5e1 100644 --- a/TracingPaper.log +++ b/TracingPaper.log @@ -1,15 +1,24 @@ -This is pdfTeX, Version 3.1415926-2.5-1.40.14 (MiKTeX 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PDF statistics: 51 PDF objects out of 1000 (max. 8388607) 0 named destinations out of 1000 (max. 500000) diff --git a/TracingPaper.pdf b/TracingPaper.pdf index e2a15a9..557b15c 100644 Binary files a/TracingPaper.pdf and b/TracingPaper.pdf differ diff --git a/TracingPaper.synctex.gz b/TracingPaper.synctex.gz index 2c4d6a2..6584031 100644 Binary files a/TracingPaper.synctex.gz and b/TracingPaper.synctex.gz differ diff --git a/TracingPaper.tex b/TracingPaper.tex index 9cf19ad..84dc486 100644 --- a/TracingPaper.tex +++ b/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}