defined "Hot Set" for Oasys experiement,

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Sears Russell 2006-08-19 20:02:05 +00:00
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@ -1369,17 +1369,27 @@ linked the benchmark's executable to the {\tt libmysqld} daemon library,
bypassing the RPC layer. In experiments that used the RPC layer, test
completion times were orders of magnitude slower.
Figure~\ref{fig:OASYS} presents the performance of the three
\yad optimizations, and the \oasys plugins implemented on top of other
systems. As we can see, \yad performs better than the baseline
systems, which is not surprising, since it is not providing the A
property of ACID transactions. (Although it is applying each individual operation atomically.)
Figure~\ref{fig:OASYS} presents the performance of the three \yad
optimizations, and the \oasys plugins implemented on top of other
systems. In this test, none of the systems were memory bound. As
we can see, \yad performs better than the baseline systems, which is
not surprising, since it is not providing the A property of ACID
transactions. (Although it is applying each individual operation
atomically.)
In non-memory bound systems, the optimizations nearly double \yads
performance by reducing the CPU overhead of object serialization{\rcs different word?} and
the number of log entries written to disk. In the memory bound test,
we see that update/flush indeed improves memory utilization.
performance by reducing the CPU overhead of copying marshalling and
unmarshalling objects, and by reducing the size of log entries written
to disk.
To determine the effect of the optimization in memory bound systems,
we decreased \yads page cache size, and used O\_DIRECT to bypass the
operating system's disk cache. We then partitioned the set of objects
so that 10\% fit in a {\em hot set} that is small enough to fit into
memory. We then measured \yads performance as we varied the
percentage of object updates that manipulate the hot set. In the
memory bound test, we see that update/flush indeed improves memory
utilization.
\subsection{Manipulation of logical log entries}