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Evaluating Networked Systems
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Robert Ricci
Evaluating Networked Systems
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b8193207
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b8193207
authored
Jan 12, 2014
by
Robert Ricci
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Checkpoint, make it through the end of the list
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lectures/lecture3/lecturenotes.tex
lectures/lecture3/lecturenotes.tex
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lectures/lecture3/lecturenotes.tex
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b8193207
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@@ -51,12 +51,29 @@
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@@ -51,12 +51,29 @@
average of ratios or bad experiments
average of ratios or bad experiments
\2
No sensitivity analysis: Analysis gives you evidence, not facts.
\2
No sensitivity analysis: Analysis gives you evidence, not facts.
What would change if setting changes?
What would change if setting changes?
\2
Ignoring errors in input: errors may be systematically biased
(eg. queues too long, drop work)
\2
Improper treatment of outliers: Is it an artifact of the evaluation
environment, or can it really happen?
\2
Assuming no change in the future: Big one for research, which is
supposed to be forward looking---assumptions and sensitivity analysis
\2
Ignoring variability: Don't just present mean! - eg. bimodal high/low
distribution
\2
Too complex analysis: Don't make it complex just for the sake of seeming
hard
\2
Improper presentation of results: Remember, about persuasion
\2
Ignoring social aspects: Again, about persuasion. Remember: you know
a lot that the audience doesn't. Audience is rarely as expert as you in
the details of the thing you're writing about. Beliefs, values,
language, jargon.
\2
Omitting assumptions and limitations: Important in research---under what
conditions do you expect your conclusions to be true?
\1
For next time
\1
For next time
\2
Read 2.2
\2
Read 2.2
\2
HW
\#
2 due before class starts
\2
HW
\#
2 due before class starts
\2
HW
\#
3 will be handed out by class time
\2
HW
\#
3 will be handed out by class time
\3
\3
Need three volunteers to go first for paper anaylsis
\end{outline}
\end{outline}
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