DATE:
Thursday, February 16, 2006
TIME:
Noon - 1 pm
PLACE:
CIC 2101
SPEAKER:
Adam
Wierman
CMU
TITLE:
Open vs. Closed: A Cautionary Tale
ABSTRACT:
Every systems researcher is well aware of the importance of setting up
one's experiments so that the system being modeled is "accurately
represented." Fundamental to this is using a realistic workload generator
that accurately models the service request demands, popularity distribution,
etc. One particularly important aspect of a workload generator that is
not given the attention it deserves is whether the workload generator
uses an open or closed system model. Using a combination of implementation
and simulation experiments, we will illustrate that there is a vast difference
in behavior between the open and closed system models in realistic settings,
even when all other workload parameters are held fixed. These results
illustrate that understanding the appropriate system model for a given
application is essential to evaluating the impact of design decisions,
e.g. proposed changes in the scheduling policy used. Thus, we will also
provide guidelines for determining when open and closed system models
are appropriate.
BIO:
Adam Wierman is currently a doctoral student at Carnegie Mellon University.
He received a BS with University Honors in Computer science and Mathematics
with minors in Psychology and Statistics from Carnegie Mellon University
in 2001. He is a recipient of the NSF Graduate Research Fellowship, the
best student paper award at the ACM Sigmetrics conference, and multiple
teaching awards, including the Alan J. Perlis Student Teaching Award.
He currently works on the analysis of scheduling policies for queuing
systems. His main focus is on understanding the impact of scheduling techniques
and heuristics on efficiency and fairness metrics.
For Further
Seminar Info:
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or visit http://www.pdl.cmu.edu/SDI/
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