"access temperature". "Access temperature" is a metric representing the
access-hotness of a region. It is calculated as a weighted sum of the access
frequency and the age of the region. If the access frequency is 0 %, the
-temperature is multipled by minus one. That is, if a region is not accessed,
+temperature is multiplied by minus one. That is, if a region is not accessed,
it gets minus temperature and it gets lower as not accessed for longer time.
The sorting is in temperature-ascendint order, so the region at the top of the
list is the coldest, and the one at the bottom is the hottest one. ::
The list shows not seemingly hot regions, and only minimum access pattern
diversity. Every region has zero access frequency. The number of region is
10, which is the default ``min_nr_regions value``. Size of each region is also
-nearly idential. We can suspect this is because “adaptive regions adjustment”
+nearly identical. We can suspect this is because “adaptive regions adjustment”
mechanism was not well working. As the guide suggested, we can get relative
hotness of regions using ``age`` as the recency information. That would be
better than nothing, but given the fact that the longest age is only about 6
-seconds while we waited about ten minuts, it is unclear how useful this will
+seconds while we waited about ten minutes, it is unclear how useful this will
be.
The temperature ranges to total size of regions of each range histogram
The number of regions having different access patterns has significantly
increased. Size of each region is also more varied. Total size of non-zero
access frequency regions is also significantly increased. Maybe this is already
-good enough to make some meaningful memory management efficieny changes.
+good enough to make some meaningful memory management efficiency changes.
800ms/16s intervals: Another bias
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