2272
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Ran 12 May 2018 01:41AM UTC

Jobs 1

Files 66

Run time 62min

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Build # 2272

Build Type

push

travis-ci

Committed by

ben-manes

Commit Message

Added a compute time benchmark based on the traces

The goal of this benchmark is to simulate the performance benefit of
switching algorithms on a fixed workload. If the hit rate increases,
one would expect to see the execution time decrease as the cost of a
miss goes up. However, if the eviction policy's overhead outweighs
the workload's costs then the optimization is not worthwhile.

Therefore the goal is to show if the improvements by a more advanced
algorithm outweigh its costs. For example LRU is extremely cheap to
execute and, with a small penalty, TinyLFU can be added to increase
its hit rate. In a workload like ARC's DS1 trace (database), this is
clear cut. But if we introduced a new policy that was very expensive
to operate, it wouldn't be feasible in practice.

This isn't expected to be used as a microbenchmark to performance tune
with. Rather its an indicator of whether a technique, such as mini-sim
sampling, is feasible in practice.

Coverage Stats

5733 of 6091 relevant lines covered (94.12%)

0.94 hits per line

Coverage Regressions

Lines	Coverage	∆	File
1	100.0		caffeine/src/main/java/com/github/benmanes/caffeine/SingleConsumerQueue.java

Jobs

ID	Job ID	Ran	Files	Coverage
2	2272.2 (GROUP=tests)	12 May 2018 02:44AM UTC	0	94.12	Travis Job 2272.2

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